gebhart/patrepeval huggingface dataset:
Correlation of conjunctival microangiopathy with retinopathy in type-2 diabetes mellitus (T2DM) patients (2011)

We hypothesized that T2DM vasculopathy can be revealed and quantified in the bulbar conjunctiva prior to its pathologic presentation in the retina. Using computer-assisted intravital microscopy (CAIM), an objective, non-invasive approach can provide a viable complement to retinal fundus photography to possibly screen patients for early signs of real-time, in vivo T2DM vasculopathy. Fundus photography was utilized to determine the retinopathy level (RL) in T2DM patients with non-proliferative diabetic retinopathy (NPDR) and control subjects. CAIM was used to quantify microangiopathy in the bulbar conjunctiva in the same patients, and reported on a severity index (SI). The average RL for the T2DM patients in this study is 19.68 ± 9.91, which differs from control subjects (RL = 10 ± 0.0; p < 0.05). A significant difference in vasculopathy was observed in the conjunctival microcirculation in the same patients (SI = 5.81 ± 1.30) when compared with control subjects (SI = 1.33 ± 1.58; p < 0.05). The results provide evidence that significant vasculopathy had developed in the microcirculation in the bulbar conjunctiva, though diabetic retinopathy had not developed significantly in the same patients - indicative of the presence of a time window for early intervention of T2DM before non-proliferative retinopathy develops, and the real-time availability of the conjunctival microvasculature as an in vivo platform to monitor disease progression.
Neural networks-based turbo equalization of a satellite communication channel (2014)

This paper proposes neural networks-based turbo equalization (TEQ) applied to a non linear channel. Based on a Volterra model of the satellite non linear communication channel, we derive a soft input soft output (SISO) radial basis function (RBF) equalizer that can be used in an iterative equalization in order to improve the system performance. In particular, it is shown that the RBF-based TEQ is able to achieve its matched filter bound (MFB) within few iterations. The paper also proposes a blind implementation of the TEQ using a multilayer perceptron (MLP) as an adaptive model of the nonlinear channel. Asymptotic analysis as well as reduced complexity implementations are also presented and discussed.
Long-COVID and Post-COVID Health Complications: An Up-to-Date Review on Clinical Conditions and Their Possible Molecular Mechanisms (2021)

The COVID-19 pandemic has infected millions worldwide, leaving a global burden for long-term care of COVID-19 survivors. It is thus imperative to study post-COVID (i.e., short-term) and long-COVID (i.e., long-term) effects, specifically as local and systemic pathophysiological outcomes of other coronavirus-related diseases (such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS)) were well-cataloged. We conducted a comprehensive review of adverse post-COVID health outcomes and potential long-COVID effects. We observed that such adverse outcomes were not localized. Rather, they affected different human systems, including: (i) immune system (e.g., Guillain-Barré syndrome, rheumatoid arthritis, pediatric inflammatory multisystem syndromes such as Kawasaki disease), (ii) hematological system (vascular hemostasis, blood coagulation), (iii) pulmonary system (respiratory failure, pulmonary thromboembolism, pulmonary embolism, pneumonia, pulmonary vascular damage, pulmonary fibrosis), (iv) cardiovascular system (myocardial hypertrophy, coronary artery atherosclerosis, focal myocardial fibrosis, acute myocardial infarction, cardiac hypertrophy), (v) gastrointestinal, hepatic, and renal systems (diarrhea, nausea/vomiting, abdominal pain, anorexia, acid reflux, gastrointestinal hemorrhage, lack of appetite/constipation), (vi) skeletomuscular system (immune-mediated skin diseases, psoriasis, lupus), (vii) nervous system (loss of taste/smell/hearing, headaches, spasms, convulsions, confusion, visual impairment, nerve pain, dizziness, impaired consciousness, nausea/vomiting, hemiplegia, ataxia, stroke, cerebral hemorrhage), (viii) mental health (stress, depression and anxiety). We additionally hypothesized mechanisms of action by investigating possible molecular mechanisms associated with these disease outcomes/symptoms. Overall, the COVID-19 pathology is still characterized by cytokine storm that results to endothelial inflammation, microvascular thrombosis, and multiple organ failures.
Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs (2016)

Recent advances in communications, controls, and embedded systems have changed the perception of a car. A vehicle has been the extension of the man’s ambulatory system, docile to the driver’s commands. It is now a formidable sensor platform, absorbing information from the environment (and from other cars) and feeding it to drivers and infrastructure to assist in safe navigation, pollution control, and traffic management. The next step in this evolution is just around the corner: the Internet of Autonomous Vehicles. Pioneered by the Google car, the Internet of Vehicles will be a distributed transport fabric capable of making its own decisions about driving customers to their destinations. Like other important instantiations of the Internet of Things (e.g. the smart building), the Internet of Vehicles will have communications, storage, intelligence, and learning capabilities to anticipate the customers’ intentions. The concept that will help transition to the Internet of Vehicles is the vehicular fog, the equivalent of instantaneous Internet cloud for vehicles, providing all the services required by the autonomous vehicles. In this article, we discuss the evolution from intelligent vehicle grid to autonomous, Internet-connected vehicles, and vehicular fog.
Bitcoin and the age of Bespoke Silicon (2013)

Recently, the Bitcoin cryptocurrency has been an international sensation. This paper tells the story of Bitcoin hard-ware: how a group of early-adopters self-organized and financed the creation of an entire new industry, leading to the development of machines, including ASICs, that had orders of magnitude better performance than what Dell, Intel, NVidia, AMD or Xilinx could provide. We examine this story for clues as to how we can foster greater innovation in the semiconductor industry and enable this phenomenon to occur more broadly for more application areas, spawning a new age of hardware innovation tailored to emerging application domains-an Age of Bespoke Silicon.
The sympathetic nervous system and obesity: role in aetiology and treatment (2000)

The sympathetic nervous system (SNS) is an important component of the autonomic nervous system, and thus plays a major role in the maintenance of homeostasis. The SNS is of particular importance in the control of the cardiovascular system and of a number of metabolic processes. Alterations in SNS effects on metabolism have been implicated in the development and maintenance of obesity, and the SNS is a potential therapeutic target in the treatment of obesity. This review provides an overview of the anatomical and physiological aspects of the SNS, before considering the evidence showing a role for the SNS in the development or treatment of obesity.
Expression of human aldose and aldehyde reductases. Site-directed mutagenesis of a critical lysine 262. (1991)

Human aldose reductase (EC 1.1.1.21) and aldehyde reductase (EC 1.1.1.2) are implicated in the development of diabetic complications by a variety of mechanisms, and a number of drugs to inhibit these enzymes have been proposed for the therapy and prevention of these complications. To probe the structure and function of these two enzymes, we used site-directed mutagenesis in the cDNAs of both enzymes to replace lysine 262 with methionine. Wild-type and mutant enzymes were overexpressed in Escherichia coli and purified by anion exchange and affinity chromatography. N-terminal sequence analysis, Western blots, and kinetic studies confirmed the identity of the recombinant wild-type enzymes with the native human placental and liver enzymes. Recombinant aldose reductase (hAR) and aldehyde reductase (hGR) have apparent kinetic constants virtually identical to their respective native enzymes. The mutant aldose reductase (hARK262 greater than M) shows a 66-fold increase in Km for NADPH with respect to the wild type (1.9 +/- 0.4 microM versus 125 +/- 14 microM), whereas the Km for DL-glyceraldehyde increased 35-fold (20 +/- 2 versus 693 +/- 41 microM). The same constants for the mutant aldehyde reductase (hGRK262 greater than M) increased 97- and 86-fold, respectively (from 2.0 +/- 0.4 to 194 +/- 16 microM and from 1.6 +/- 0.4 to 137 +/- 3 mM). These results indicate that lysine 262 in aldose reductase and aldehyde reductase is crucial to their catalytic activity by affecting co-factor binding.
Computational simulation of block copolymer directed self-assembly in small topographical guiding templates (2013)

Directed self-assembly (DSA) of block copolymers (BCP) has attracted significant interest due to its promising potential as the next generation lithography candidate. In this paper we used Self-Consistent-Field-Theory (SCFT) to computationally simulate the equilibrium behavior of self-assembly inside a confinement well, which is also known as graphoepitaxy. More specifically, we studied the DSA of cylinder-forming block copolymers for contact hole/via patterning, mainly focusing on 1-hole DSA pattern inside confinement well. The SCFT simulation results of parametric studies for confinement well sizes ranging from 50nm to 90nm, different polymer film thicknesses and a range of the wall/substrate affinity parameter values, are presented, as well as verified by experiments.
Evaluation of Deuterated 18F- and 11C-Labeled Choline Analogs for Cancer Detection by Positron Emission Tomography (2012)

We have shown here that both deuteration and fluorination combine to provide protection against choline oxidation in vivo. (18)F-D4-choline showed the highest selectivity for phosphorylation and warrants clinical evaluation.
Comparison of Folate Receptor Targeted Optical Contrast Agents for Intraoperative Molecular Imaging (2015)

Background. Intraoperative imaging can identify cancer cells in order to improve resection; thus fluorescent contrast agents have emerged. Our objective was to do a preclinical comparison of two fluorescent dyes, EC17 and OTL38, which both target folate receptor but have different fluorochromes. Materials. HeLa and KB cells lines were used for in vitro and in vivo comparisons of EC17 and OTL38 brightness, sensitivity, pharmacokinetics, and biodistribution. In vivo experiments were then performed in mice. Results. The peak excitation and emission wavelengths of EC17 and OTL38 were 470/520 nm and 774/794 nm, respectively. In vitro, OTL38 required increased incubation time compared to EC17 for maximum fluorescence; however, peak signal-to-background ratio (SBR) was 1.4-fold higher compared to EC17 within 60 minutes (p < 0.001). Additionally, the SBR for detecting smaller quantity of cells was improved with OTL38. In vivo, the mean improvement in SBR of tumors visualized using OTL38 compared to EC17 was 3.3 fold (range 1.48-5.43). Neither dye caused noticeable toxicity in animal studies. Conclusions. In preclinical testing, OTL38 appears to have superior sensitivity and brightness compared to EC17. This coincides with the accepted belief that near infrared (NIR) dyes tend to have less autofluorescence and scattering issues than visible wavelength fluorochromes.
A 6.2-GFlops Floating-Point Multiply-Accumulator With Conditional Normalization (2006)

A pipelined single-precision floating-point multiply-accumulator (FPMAC) featuring a single-cycle accumulate loop using base 32 and internal carry-save arithmetic with delayed addition is described. A combination of algorithmic, logic, and circuit techniques enables multiply-accumulate operations at speeds exceeding 3 GHz with single-cycle throughput. The optimizations allow removal of the costly normalization step from the critical accumulate loop. This logic is conditionally powered down using dynamic sleep transistors on long accumulate operations, saving active and leakage power. In addition, an improved leading-zero anticipator (LZA) and overflow prediction logic applicable to carry-save format is presented. In a 90-nm seven-metal dual-V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sub> CMOS process, the 2 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> custom design contains 230K transistors. The fully functional first silicon achieves 6.2 GFlops of performance while dissipating 1.2 W at 3.1 GHz, 1.3-V supply
Design and implementation of CDR and SerDes for high speed optical communication networks using FPGA (2016)

In this paper, we design and implement the Clock and Data-Recovery (CDR) with Serializer/Deserializer (SerDes) on Spartan SP605 supports a data-rate up-to 3.2 Gbps with locking time less-than 5×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-7</sup> s, and bit-error rate less-than 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-10</sup> .
Pd nanoparticle catalysed one-pot sequential Heck and Suzuki couplings of bromo-chloroarenes in ionic liquids and water (2011)

Pd nanoparticles generated in green reaction media (viz. ionic liquids and water) catalyze the one-pot sequential Heck and Suzuki coupling reactions of bromo-chloroarenes to afford unsymmetrically substituted arenes in good yields.
Effects of Optical Spot/Magnetic Head Misalignment for Perpendicular Hybrid Magnetic Recording Systems (2002)

We present modeling and experimental work on the alignment tolerances between the optical and magnetic head in a hybrid recording system. The experiments were performed using a longitudinal magnetic write head on TeFeCo media. Based on these findings conceptual designs for an integrated transducer are given.
Mixed Word Representation and Minimal Bi-GRU Model for Sentiment Analysis (2019)

In the mission of natural language processing, sentiment analysis is a formidable challenge due to the complexity of deep network architecture and the lack of standard sentiment word representation. In this paper, we proposed a new learning method of the word representation for the comprehensive information of texts and a minimal Bi-GRU (bidirectional gate recurrent unit) model for the task of sentiment classification. First, for capturing sentiment information of words, the supervised three-layer network is used for construct sentiment word representation. We propose the mixed word representation to denote the classification characteristics, which combines the word embedding of neural probabilistic language model with the proposed the sentiment word representation. Next, we propose bidirectional GRU network including forward and backward propagation to consider the semantic relations before and after sentences, meanwhile, to simple the architecture, we apply minimal GRU network. Then, we combine minimal Bi-GRU model with the mixed word representation taking a full account of semantic and sentiment information to classify the sentiment data set as Movie Reviews and IMDB data set. Experimental results demonstrate that the simplicity of the model and superiority of the performance.
Models of mental health training for primary care physicians: a validation study. (1987)

Since the majority of persons with alcohol, drug abuse, and/or mental disorders (19%) of Americans during any 6-month period are seen exclusively within the general health sector, it is imperative to know the quality and quantity of mental health training for primary care residents. In this study, the five program training model types previously described--Consultation, Liaison, Bridge, Hybrid, Autonomous--are validated by a random sampling technique using a structured instrument to test eight hypotheses developed before data collection to preclude post hoc interpretations. Of 250 programs, 147 responded (60%): 67 Family Practice, 42 Primary Internal Medicine, and 38 Internal Medicine. Since all eight hypotheses were supported by the data, the construct validity of the program model types is significantly substantiated. Multiple discriminant analysis revealed that the relationships between twelve training program characteristics and the five program model types were such that the former could explain 57% of the variance in the latter and correctly classify 89% of the programs.
Method Development for the Determination of Free and Esterified Sterols in Button Mushrooms (<i>Agaricus bisporus</i>) (2016)

Ergosterol is the major sterol in button mushrooms (Agaricus bisporus) and can occur as free alcohol or esterified with fatty acids (ergosteryl esters). In this study, gas chromatography with mass spectrometry in the selected ion monitoring mode (GC/MS-SIM) was used to determine ergosterol and ergosteryl esters as well as other sterols and steryl esters in button mushrooms. Different quality control measures were established and sample preparation procedures were compared to prevent the formation of artifacts and the degradation of ergosteryl esters. The final method was then used for the determination of ergosterol (443 ± 44 mg/100 g dry matter (d.m.)) and esterified ergosterol (12 ± 6 mg/100 g d.m.) in button mushroom samples (n = 4). While the free sterol fraction was vastly dominated by ergosterol (∼90% of five sterols in total), the steryl ester fraction was more diversified (nine sterols in total, ergosterol ∼55%) and consisted primarily of linoleic acid esters.
Data-driven interior plan generation for residential buildings (2019)

We propose a novel data-driven technique for automatically and efficiently generating floor plans for residential buildings with given boundaries. Central to this method is a two-stage approach that imitates the human design process by locating rooms first and then walls while adapting to the input building boundary. Based on observations of the presence of the living room in almost all floor plans, our designed learning network begins with positioning a living room and continues by iteratively generating other rooms. Then, walls are first determined by an encoder-decoder network, and then they are refined to vector representations using dedicated rules. To effectively train our networks, we construct RPLAN - a manually collected large-scale densely annotated dataset of floor plans from real residential buildings. Intensive experiments, including formative user studies and comparisons, are conducted to illustrate the feasibility and efficacy of our proposed approach. By comparing the plausibility of different floor plans, we have observed that our method substantially outperforms existing methods, and in many cases our floor plans are comparable to human-created ones.
Iridium As Catalyst and Cocatalyst for Oxygen Evolution/Reduction in Acidic Polymer Electrolyte Membrane Electrolyzers and Fuel Cells (2014)

Among noble metal electrocatalysts, only iridium presents high activity for both the oxygen reduction reaction (ORR) in acid medium, in the oxide form, and the oxygen evolution reaction (OER) in acid medium, alloyed with first row transition metals. Indeed, platinum, the best catalyst for the ORR, has poor activity for the OER in any form, and ruthenium, the best catalyst for the OER, in the oxide form, possess poor activity for the ORR in any form. In this work, an overview of the application of Ir and Ir-containing catalysts for the OER in proton-exchange membrane water electrolyzer anodes, for the ORR in proton exchange membrane fuel cell cathodes, and for both OER and ORR in unit regenerative fuel cell oxygen electrodes is presented.
Comparison and Combination of Aerosol Size Distributions Measured with a Low Pressure Impactor, Differential Mobility Particle Sizer, Electrical Aerosol Analyzer, and Aerodynamic Particle Sizer (1993)

Abstract Data from a different mobility particle sizer (DMPS) or an electrical aerosol analyzer (EAA) has been combined with data from an aerodynamic particle sizer (APS) and converted to obtain aerosol mass distribution parameters on a near real-time basis. A low pressure impactor (LPI), a direct and independent measure of this mass distribution, provided information for comparison. The number distribution of particles within the electrical measurement range was obtained with the DMPS and EAA. Data from the APS for particles greater than that size were used to complete the number distribution. Two methods of obtaining mass distribution parameters from this number data were attempted. The first was to convert the number data, channel by channel, to mass data and then fit a log-normal function to this new mass distribution. The second method was to fit a log-normal function to the combined number distribution and then use the Hatch-Choate equations to obtain mass parameters. Both the DMPS / APS and the EAA / APS systems were shown to successfully measure aerosol mass distribution as a function of aerodynamic diameter. Careful operation of the measurement equipment and proper data manipulation are necessary to achieve reliable results. A channel-by-channel conversion from number to mass distribution provided the best comparison to the LPI measurement. The DMPS / APS combination furnishes higher-size resolution and accuracy than the EAA / APS system. A small gap was observed in the EAA / APS combined data; however, this did not seem to adversely affect the determination of mass distribution parameters.
Association Analyses of SA Gene Variant in Essential Hypertensives (1997)

A gene designated S(A) has been implicated in hypertension (HT) in rat genetic models and Japanese HT patients. However, a linkage study in whites was negative. Because of the limitations of genetic analyses, confirmation in different settings is imperative. Therefore, we conducted a cross-sectional case-control study involving 106 HT and 96 normotensive (NT) white subjects. A polymerase chain reaction technique was developed for PstI restriction fragment length polymorphism (RFLP) determination. We could find no association of this RFLP with HT (frequency of minor allele, A2 = 0.11 in HTs v 0.07 in NTs). However, A2 displayed an association with increase in body mass index in HTs: for a body mass index mean of 26 kg/m2 or more, A2 = 0.17 compared to 0.06 for body mass index of less than 26 kg/m2 (chi2 = 6.4, P = .01; odd ratio 3.4, 95% confidence interval 1.2 to 10.0); for a body mass index of 28 kg/m2 or more, A2 = 0.20 (chi2 = 10.4, P = .001; odds ratio 4.0, 95% confidence interval 1.5 to 10.5). Furthermore, A2 tracked significantly with elevation in body mass index in the HTs (F = 4.8, P = .01 by one-way ANOVA). In conclusion, we could find no association of S(A) genotype with HT, but obtained preliminary evidence for a possible association with variation in body mass index in a severely affected HT group with a strong family history of HT.
DCC association with lipid rafts is required for netrin-1-mediated axon guidance (2005)

During development, axons migrate long distances in responses to attractive or repulsive signals that are detected by their growth cones. One of these signals is mediated by netrin-1, a diffusible laminin-related molecule that both attracts and repels growth cones via interaction with its receptor DCC (deleted in colorectal cancer). Here we show that DCC in both commissural neurons and immortalized cells, is partially associated with cholesterol- and sphingolipid-enriched membrane domains named lipid rafts. This localization of DCC in lipid rafts is mediated by the palmitoylation within its transmembrane region. Moreover, this raft localization of DCC is required for netrin-1-induced DCC-dependent ERK activation, and netrin-1-mediated axon outgrowth requires lipid raft integrity. Thus, the presence of axon guidance-related receptors in lipid rafts appears to be a crucial pre-requisite for growth cone response to chemo-attractive or repulsive cues.