gebhart/patrepeval huggingface dataset:
Quantitative blood speed imaging with intravascular ultrasound (2001)

Previously, we presented a method of real-time arterial color flow imaging using an intravascular ultrasound (IVUS) imaging system, where real-time RF A-scans were processed with an FIR (finite-impulse response) filter bank to estimate relative blood speed. Although qualitative flow measurements are clinically valuable, realizing the full potential of blood flow imaging requires quantitative flow speed and volume measurements in real time. Unfortunately, the rate of RF echo-to-echo decorrelation is not directly related to scatterer speed in a side-looking IVUS system because the elevational extent of the imaging slice varies with range. Consequently, flow imaging methods using any type of decorrelation processing to estimate blood speed without accounting for spatial variation of the radiation pattern will have estimation errors that prohibit accurate comparison of speed estimates from different depths. The FIR filter bank approach measures the rate of change of the ultrasound signal by estimating the slow-time spectrum of RF echoes. A filter bank of M bandpass filters is applied in parallel to estimate M components of the slow-time DFT (discrete Fourier transform). The relationship between the slow-time spectrum, aperture diffraction pattern, and scatterer speed is derived for a simplified target. Because the ultimate goal of this work is to make quantitative speed measurements, we present a method to map slow time spectral characteristics to a quantitative estimate. Results of the speed estimator are shown for a simulated circumferential catheter array insonifying blood moving uniformly past the array (i.e., plug flow) and blood moving with a parabolic profile (i.e., laminar flow).
Method for fabricating an ignitable heterogeneous stratified metal structure (2023)

A multilayer structure has a selectable, (i) propagating reaction front velocity V, (ii) reaction initiation temperature attained by application of external energy and (iii) amount of energy delivered by a reaction of alternating unreacted layers of the multilayer structure. Because V is selectable and controllable, a variety of different applications for the multilayer structures are possible, including but not limited to their use as ignitors, in joining applications, in fabrication of new materials, as smart materials and in medical applications and devices. The multilayer structure has a period D, and an energy release rate constant K. Two or more alternating unreacted layers are made of different materials and separated by reacted zones. The period D is equal to a sum of the widths of each single alternating reaction layer of a particular material, and also includes a sum of reacted zone widths, t.sub.i, in the period D. The multilayer structure has a selectable propagating reaction front velocity V, where V=K(1/D.sup.n).times.[1-(t.sub.i /D)]and n is about 0.8 to 1.2.
Purification and Characteristics of an Endogenous α-Amylase Inhibitor from Barley Kernels (1983)

An inhibitor of malted barley (Hordeum vulgare cv Conquest) alpha-amylase II was purified 125-fold from a crude extract of barley kernels by (NH(4))(2)SO(4) fractionation, ion exchange chromatography on DEAE-Sephacel, and gel filtration on Bio-Gel P 60. The inhibitor was a protein with an approximate molecular weight of 20,000 daltons and an isoelectric point of 7.3. The protein was homogeneous, as assessed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Amino acid analysis indicated the presence of about 9 half-cystine residues per mole. The neutral isoelectric point of the inhibitor suggested that some of the apparently acidic residues (glutamic and aspartic) existed in the amide form. The first twenty N-terminal amino acids were sequenced. Some homology appeared to exist between the alpha-amylase II inhibitor and trypsin inhibitor from barley. Complex formation between alpha-amylase II and the inhibitor was detected by the appearance of a new molecular weight species after gel filtration on Bio-Gel P 100. Enzyme and inhibitor had to be preincubated for 5 min, prior to assaying for enzyme activity before maximum inhibition was attained. Inhibition increased at higher pH values. At pH 5.5, an approximately 1100 molar excess of inhibitor over alpha-amylase II produced 40% inhibition, whereas, at pH 8.0, a 1:1 molar ratio of inhibitor to enzyme produced the same degree of inhibition.
Emerging Categories of Disease in Advanced Prostate Cancer and Their Therapeutic Implications. (2017)

The treatment of advanced prostate cancer has changed significantly in the last decade, as a result of the introduction of multiple new systemic therapies that have had a positive impact on treatment outcomes. The increasing number of therapies, along with new insights into the biological underpinnings of prostate cancer, have led to a growing appreciation for the heterogeneity of the disease and an awareness of emerging subcategories that have direct therapeutic implications for the practicing clinician. In the metastatic hormone-naive setting, the extent of metastatic disease visible on scans can serve as a useful measure to guide treatment decisions; the addition of docetaxel chemotherapy to hormonal therapy has significant benefit in patients whose scans show more extensive disease. In the castration-resistant setting, abiraterone and enzalutamide have both had a transformative impact; however, the emergence of resistance to these therapies often heralds a more aggressive phenotype. Emerging clinically relevant subcategories include disease that demonstrates treatment-emergent neuroendocrine differentiation, as well as tumors with somatic and/or germline alterations in the DNA repair pathway. Identification of these subtypes has direct clinical relevance with regard to the potential benefit of platinum-based chemotherapy, poly (ADP-ribose) polymerase inhibitors, and likely further therapies as new therapeutic targets are identified in these groups.
Effect of half adult dose of oral Rifampicin (300mg) in patientswith idiopathic central serous chorioretinopathy (2016)

Half adult dose rifampicin (300mg) is effective and safe in treatment of central serous chorioretinopathy without causing any systemic imbalance.
Selection of complementary foods based on optimal nutritional values (2017)

Human milk is beneficial for growth and development of infants. Several factors result in mothers ceasing breastfeeding which leads to introduction of breast-milk substitutes (BMS). In some communities traditional foods are given as BMS, in others they are given as complementary foods during weaning. Improper food selection at this stage is associated with a high prevalence of malnutrition in children under 5 years. Here we listed the traditional foods from four continents and compared them with human milk based on their dietary contents. Vitamins such as thiamine (~[2-10] folds), riboflavin (~[4-10] folds) and ascorbic acid (<2 folds) contents of Asian and African foods were markedly lower. In order to extend the search for foods that includes similar dietary constituents as human milk, we designed a strategy of screening 8654 foods. 12 foods were identified and these foods were evaluated for their ability to meet the daily nutritional requirement of breastfed and non-breastfed infants during their first year of life. Genome-scale models of infant's hepatocytes, adipocytes and myocytes were then used to simulate in vitro growth of tissues when subjected to these foods. Key findings were that pork ham cured, fish pudding, and egg lean white induced better tissue growth, and quark with fruit, cheese quarg 45% and cheese cream 60% had similar lactose content as human milk.
HSPB1 inhibitor J2 attenuates lung inflammation through direct modulation of Ym1 production and paracrine signaling (2021)

Heat shock protein beta-1 (HSPB1) is a multifaceted protein that controls cellular stress, modulates cell differentiation and development, and inhibits apoptosis of cancer cells. Increased HSPB1 expression is highly associated with poor outcomes in lung cancer by enhancing cell migration and invasion; therefore, targeting HSPB1 may be a promising therapeutic for lung cancer and fibrosis. Although the HSPB1 inhibitor J2 has been reported to exhibit potent antifibrotic effects, it remains unclear whether and how J2 directly modulates inflammatory immune responses in pulmonary fibrosis. In this study, we found that J2 potently attenuated irradiation or bleomycin-induced pulmonary fibrosis by significantly inhibiting the infiltration and activation of T cells and macrophages. J2 inhibited T-cell proliferation and subsequently suppressed T helper cell development. Although there was no significant effect of J2 on cell proliferation of M1 and M2 macrophages, J2 specifically increased the expression of Ym1 in M2 macrophages without affecting the expression of other M2 markers. Interestingly, J2 increased lysosomal degradation of HSPB1 and inhibited HSPB1-induced repression of signal transducer and activator of transcription 6 (STAT6), which simultaneously increased STAT6 and Ym1 expression. Ym1 production and secretion by J2-treated M2 macrophages substantially decreased IL-8 production by airway epithelial cells in vitro and in vivo, resulting in attenuation of airway inflammation. Taken together, we suggest that J2 has potential as a therapeutic agent for pulmonary fibrosis with increased HSPB1 expression through direct immune suppression by Ym1 production by M2 macrophages as well as T-cell suppression.
Detection of membrane-bound and soluble antigens by magnetic levitation (2017)

Magnetic levitation is a technique for measuring the density and the magnetic properties of objects suspended in a paramagnetic field. We describe a novel magnetic levitation-based method that can specifically detect cell membrane-bound and soluble antigens by measurable changes in levitation height that result from the formation of antibody-coated bead and antigen complex. We demonstrate our method's ability to sensitively detect an array of membrane-bound and soluble antigens found in blood, including T-cell antigen CD3, eosinophil antigen Siglec-8, red blood cell antigens CD35 and RhD, red blood cell-bound Epstein-Barr viral particles, and soluble IL-6, and validate the results by flow cytometry and immunofluorescence microscopy performed in parallel. Additionally, employing an inexpensive, single lens, manual focus, wifi-enabled camera, we extend the portability of our method for its potential use as a point-of-care diagnostic assay.
In situ hybridization analysis of interstitial C-heterochromatin in marker chromosomes of two human melanomas. (1989)

Two distinct marker chromosomes, presenting with intercalated C- and distamycin A-Dapi-positive regions, were observed in a metastatic and a primary melanoma. To establish the origin of these heterochromatic sequences, we performed in situ hybridization analysis using specific probes for human repetitive DNA. The marker of the primary melanoma, m2, a der 16 chromosome resulting from the translocation of the 1q12-qter segment to band q23 of chromosome 16, showed specific hybridization with Sau3A but not with EcoRI sequences at the interstitial C-band. Thus the origin of this region from the normal chromosome 1 pericentromeric heterochromatin, containing both EcoRI and Sau3A sequences, could be established. On the other hand, the marker of the metastatic melanoma, m1, a der 1 chromosome showing an abnormally banded region inserted between 1q11 and 1q21-qter, failed to give any hybridization signals at the C- and distamycin A-Dapi-positive band when the same EcoRI and Sau3A probes were used. Furthermore, no hybridization was observed using either a probe for SatIII-specific sequences (QP23), mapping to chromosome 9 heterochromatic block, or LS6BB, a ribosomal DNA probe. From these data we speculate that more complex molecular rearrangements may have occurred during the transposition of heterochromatin from its original site to m1. The heterochromatin change found in m1 may be related to advanced stages of malignancy.
Endometrial biomarkers for the non-invasive diagnosis of endometriosis (2016)

We could not statistically evaluate most of the biomarkers assessed in this review in a meaningful way. In view of the low quality of most of the included studies, the findings of this review should be interpreted with caution. Although PGP 9.5 met the criteria for a replacement test, it demonstrated considerable inter study heterogeneity in diagnostic estimates, the source of which could not be determined. Several endometrial biomarkers, such as endometrial proteome, 17βHSD2, IL-1R2, caldesmon and other neural markers (VIP, CGRP, SP, NPY and combination of VIP, PGP 9.5 and SP) showed promising evidence of diagnostic accuracy, but there was insufficient or poor quality evidence for any clinical recommendations. Laparoscopy remains the gold standard for the diagnosis of endometriosis, and using any non-invasive tests should only be undertaken in a research setting. We have also identified a number of biomarkers that demonstrated no diagnostic value for endometriosis. We recommend that researchers direct future studies towards biomarkers with high diagnostic potential in good quality diagnostic studies.
Effects of dietary supplementation with docosahexaenoic acid (DHA) on hippocampal gene expression in streptozotocin induced diabetic C57Bl/6 mice (2015)

A body of evidence has accumulated indicating diabetes is associated with cognitive impairments. Effective strategies are therefore needed that will delay or prevent the onset of these diabetes-related deficits. In this regard, dietary modification with the naturally occurring compound, docosahexaenoic acid (DHA), holds significant promise as it has been shown to have anti-inflammatory, anti-oxidant, and anti-apoptotic properties. The hippocampus, a limbic structure involved in cognitive functions such as memory formation, is particularly vulnerable to the neurotoxic effects related to diabetes, and we have previously shown that streptozotocin-induced diabetes alters hippocampal gene expression, including genes involved in synaptic plasticity and neurogenesis. In the present study, we explored the effects of dietary supplementation with DHA on hippocampal gene expression in C57Bl/6 diabetic mice. Diabetes was established using streptozotocin (STZ) and once stable, the dietary intervention group received AIN93G diet supplemented with DHA (50 mg/kg/day) for 6 weeks. Microarray based genome-wide expression analysis was carried out on the hippocampus of DHA supplemented diabetic mice and confirmed by real time polymerase chain reaction (RT-qPCR). Genome-wide analysis identified 353 differentially expressed genes compared to non-supplemented diabetic mice. For example, six weeks of dietary DHA supplementation resulted in increased hippocampal expression of Igf II and Sirt1 and decreased expression of Tnf-α, Il6, Mapkapk2 and ApoE, compared to non-supplemented diabetic mice. Overall, DHA supplementation appears to alter hippocampal gene expression in a way that is consistent with it being neuroprotective in the context of the metabolic and inflammatory insults associated with diabetes.
Improved Extraction and HPLC Methods for Ergovaline from Plant Material and Rumen Fluid (1994)

Ergovaline, the main ergopeptine alkaloid produced in tall fescue infected with Acremonium coenophialum, is known to cause tall fescue toxicosis. Current methods in use for quantifying ergovaline in plant material have several disadvantages, including large solvent volumes and long analysis time. We report here improvements in extraction and cleanup and the high-pressure liquid chromatographic methods. Our improvements include a 24-hour extraction time, the use of smaller solvent volumes during sample preparation, and fast analysis on the polymeric reverse-phase column. In addition to allowing the analysis of large batches to assist practitioners in the accurate diagnosis of fescue toxicosis, our method is also easily modified for other matrices, such as rumen fluid.
Comparison of mRNA and lentiviral based transfection of natural killer cells with chimeric antigen receptors recognizing lymphoid antigens (2011)

Natural killer (NK) cells can be engineered to kill resistant B-lymphoid cell lines and primary B-cell chronic lymphocytic leukemia (B-CLL) cells after transfection with chimeric antigen receptors (CARs) recognizing CD19 or CD20. Here we compared mRNA electroporation with lentiviral vector (LV) transduction for both CARs. Transfection efficiency and cytotoxicity of previously NK-92 resistant CLL cells were significantly higher after mRNA electroporation than after LV transduction. Further cell sorting of LV-transduced NK-92 cells resulted in a highly enriched population of transduced cells with significant target cell lysis. Compared to NK-92 cells, peripheral blood and cord blood cells consistently showed < 10% transfection efficiency with mRNA, while LV transduction varied between 8 and 16% for peripheral blood and 12 and 73% for cord blood. These results suggest that LV should be used to achieve sufficient transgene expression if blood NK cells are considered for CAR transduction. Transfection with mRNA results in clinically relevant levels of transfection only in NK-92 cells.
Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification (2015)

Scene classification plays an important role in the interpretation of remotely sensed high-resolution imagery. However, the performance of scene classification strongly relies on the discriminative power of feature representation, which is generally hand-engineered and requires a huge amount of domain-expert knowledge as well as time-consuming hand tuning. Recently, unsupervised feature learning (UFL) provides an alternative way to automatically learn discriminative feature representation from images. However, the performances achieved by conventional UFL methods are not comparable to the state-of-the-art, mainly due to the neglect of locally substantial image structures. This paper presents an improved UFL algorithm based on spectral clustering, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">named</i> UFL-SC, which cannot only adaptively learn good local feature representations but also discover intrinsic structures of local image patches. In contrast to the standard UFL pipeline, UFL-SC first maps the original image patches into a low-dimensional and intrinsic feature space by linear manifold analysis techniques, and then learns a dictionary (e.g., using K-means clustering) on the patch manifold for feature encoding. To generate a feature representation for each local patch, an explicit parameterized feature encoding method, i.e., triangle encoding, is applied with the learned dictionary on the same patch manifold. The holistic feature representation of image scenes is finally obtained by building a bag-of-visual-words (BOW) model of the encoded local features. Experiments demonstrate that the proposed UFL-SC algorithm can extract efficient local features for image scenes and show comparable performance to the state-of-the-art approach on open scene classification benchmark.
Colour in image processing (2000)

Colour imaging is now commonplace in industrial and scientific applications and in domestic and professional photography. The digital processing of colour images for analysis, enhancement, or colour measurement is also common. This paper introduces the nature of colour, its electronic representation, and the concepts of luminance and chrominance. The complexities of precision image acquisition and display are outlined and the paper then discusses the fundamental processing concepts of component-wise and vector filtering and shows that there are still new developments to be expected in the digital processing of colour images.
Interpenetrating Collagen-Fibrin Composite Matrices with Varying Protein Contents and Ratios (2006)

Pure and composite hydrogel matrices of collagen type I and fibrin were produced by simultaneous polymerization of each biopolymer in the presence of vascular smooth muscle cells. The ratio of collagen to fibrin in composite matrices was varied from 1:1 to 1:4, with corresponding absolute protein concentrations of 1.0-5.0 mg/mL. Constructs cultured for 7 days were subjected to uniaxial tensile testing, analysis of cell content, as well as scanning electron and confocal microscopic imaging. Gel compaction over time in culture decreased with increasing protein content but was augmented by the presence of fibrin. Material properties (modulus, ultimate tensile stress, and toughness) were highly correlated with gel compaction, protein density, and cell concentration. Maximum force at failure was dependent on absolute protein concentration. This study examined the interrelationships between protein type, ratio, and density in composite biopolymer matrices and contributes to the understanding of structure-function relationships in such materials.
Effects of music interventions on stress-related outcomes: a systematic review and two meta-analyses (2019)

Music interventions are used for stress reduction in a variety of settings because of the positive effects of music listening on both physiological arousal (e.g., heart rate, blood pressure, and hormonal levels) and psychological stress experiences (e.g., restlessness, anxiety, and nervousness). To summarize the growing body of empirical research, two multilevel meta-analyses of 104 RCTs, containing 327 effect sizes and 9,617 participants, were performed to assess the strength of the effects of music interventions on both physiological and psychological stress-related outcomes, and to test the potential moderators of the intervention effects. Results showed that music interventions had an overall significant effect on stress reduction in both physiological (<i>d</i> = .380) and psychological (<i>d</i> = .545) outcomes. Further, moderator analyses showed that the type of outcome assessment moderated the effects of music interventions on stress-related outcomes. Larger effects were found on heart rate (<i>d </i>= .456), compared to blood pressure (<i>d = </i>.343) and hormone levels (<i>d </i>= .349). Implications for stress-reducing music interventions are discussed.
Modeling subjectiveness in emotion recognition with deep neural networks: Ensembles vs soft labels (2016)

Ground truth labels obtained by averaging or majority voting are commonly used to train automatic emotion classifiers. However, ground truth labels fail to encapsulate inter-annotator variability and ignore the subjectivity of emotions. In this paper, we propose two viable approaches to model the subjectiveness of emotions by incorporating inter-annotator variability, which are soft labels and model ensembling, where each model represents an annotator. Using a deep neural network that recognizes emotions in real-time from one second windows of speech spectrograms, we demonstrate that both approaches lead to consistent improvement over using ground truth labels. It is empirically shown that the performance gain of the ensemble over the baseline model could be achieved using soft labels generated from multiple annotators.
Application of Boron‐Doped Diamond Microelectrodes for Dental Treatment with Pinpoint Ozone‐Water Production (2012)

Diamonds for shiny teeth: A novel pinpoint ozone-water production unit for dental treatment using boron-doped diamond (BDD) microelectrodes is developed (see picture). The superiority of such BDD microelectrodes over simple and easy-to-handle units, in terms of the larger activities for ozone production and disinfection, is demonstrated.