gebhart/patrepeval huggingface dataset:
Spectral Analysis of RR and R‐T Variabilities in Patients with Coronary Artery Disease (1998)

Background: As the duration of the Q‐T interval is dependent upon the length of the preceding cardiac cycle, changes in QT interval duration mainly reflect, in normal subjects, the physiological beat‐by‐beat variability of the sinus node. However, little information is available on short‐term Q‐T variability in patients with an abnormal neural modulation of the sinus node. Methods: We analyzed, with autoregressive techniques, RR and R‐T apex , and R‐T end variabilities in 12 patients after myocardial infarction, in 13 patients before and after percutaneous transluminal coronary angioplasty (PTCA), and in 10 age‐matched controls. Results: No significant differences in mean value and variance of RR, R‐T apex , and R‐T end interval among the three groups of subjects were observed. Spectral analysis of RR variability was characterized by signs of sympathetic activation with a predominance of low frequency (LF) component in patients after myocardial infarction (69 ± 5 nu) and before PICA (74 ± 5 nu) in comparison to controls (50 ± 4 nu). Instead, spectral energy was equally distributed within LF and HF (high frequency) components of RT apex and R‐T end variabilities in the three groups of subjects. Conclusions: These data indicate that the predominance of LFRR in normalized units, indicating an increase of sympathetic modulation of sinus node activity in patients with coronary artery disease, are not accompanied by a parallel predominance of the LF component of R‐T apex and R‐T end variabilities. This difference reflects, in our opinion, a minor dependency of duration of ventricular repolarization from the preceding cardiac cycle in patients with coronary artery disease.
Development of a quick speech-in-noise test for measuring signal-to-noise ratio loss in normal-hearing and hearing-impaired listeners (2004)

This paper describes a shortened and improved version of the Speech in Noise (SIN) Test (Etymotic Research, 1993). In the first two of four experiments, the level of a female talker relative to that of four-talker babble was adjusted sentence by sentence to produce 50% correct scores for normal-hearing subjects. In the second two experiments, those sentences-in-babble that produced either lack of equivalence or high across-subject variability in scores were discarded. These experiments produced 12 equivalent lists, each containing six sentences, with one sentence at each adjusted signal-to-noise ratio of 25, 20, 15, 10, 5, and 0 dB. Six additional lists were also made equivalent when the scores of particular pairs were averaged. The final lists comprise the "QuickSIN" test that measures the SNR a listener requires to understand 50% of key words in sentences in a background of babble. The standard deviation of single-list scores is 1.4 dB SNR for hearing-impaired subjects, based on test-retest data. A single QuickSIN list takes approximately one minute to administer and provides an estimate of SNR loss accurate to +/-2.7 dB at the 95% confidence level.
Morphology of polyethylene blends. II: Formation of a range of morphologies in blends of polyethylene with increasing content of styrene‐isoprene‐styrene triblock copolymers during extrusion‐blowing (1992)

Abstract Blends containing polyethylene (LDPE, LLDPE, or LDPE‐LLDPE) with different weight percent of styrene‐isoprene‐styrene (SIS) triblock copolymers have been obtained by extrusion‐blowing. The morphology of the blends, investigated by scanning electron microcopy (SEM), has been related to composition but also to different parameters such as viscosity, nature of the polyethylene phase, and extrusion conditions. A large range of morphologies is observed and indicates that the main factors determining the morphology of the blends are the composition, the elongational fields at the exit of the die and, in certain limits, the relative viscosities of the components of the blends.
Effects of antithymocyte globulin on bone marrow CD34+ cells in aplastic anaemia and myelodysplasia (2000)

The mechanism of action of antithymocyte globulin (ATG) in the treatment of aplastic anaemia (AA) and myelodysplastic syndromes (MDS) is poorly understood and may involve many different mechanisms. The aim of this in vitro study was to investigate further the effect of ATG on haemopoietic progenitor cells. A total of 16 patients (10 AA and 6 MDS) and 12 normal control subjects were studied. Purified bone marrow (BM) CD34+ cells were cultured in committed progenitor assay in the presence of ATG and autologous serum, then scored on day 14 for granulocyte-monocyte colony-forming units (CFU-GM) and erythroid colonies. ATG was found to be inhibitory to haemopoietic progenitor cells at high concentrations (1000 microg/ml and 100 microg/ml). This was confirmed by CD34-FITC and 7AAD staining of purified normal CD34+ cells after overnight incubation with ATG. In contrast, at lower doses (0.1-10 microg/ml), ATG produced an increase in colony growth in most normal, MDS and AA BM CD34+ cells. The greatest effect was in patients with non-severe AA, in whom the greatest increase in CFU-GM was seen at 0.5 microg/ml (P < 0.02) and 0.1 microg/ml (P = 0.02) and erythroid colonies at 0.1 microg/ml (P < 0.05). Serum ATG levels peaked during infusion to levels that were found to be toxic to haemopoietic progenitor cells in vitro and fell thereafter to levels that were associated with the highest colony numbers (0.1 and 0.5 microg/ml) in vitro. These results suggest that an increase in haemopoietic progenitor cells by ATG may be one of several important mechanisms for haematological recovery in AA and MDS.
3D Model Retrieval Based on a 3D Shape Knowledge Graph (2020)

A development of 3D construction technology has led to 3D models being applied in many fields, and the number of 3D models has exploded in recent years. Thus, 3D model retrieval has become a popular topic with many proposed approaches. However, all of the methods focus on the 3D model's global structural descriptor design based on various deep learning networks and ignore the local structural information of the 3D model and the correlation of the local structures. In this paper, we propose a novel 3D model retrieval method based on a 3D shape knowledge graph. We first introduce the concept of a geometric word that can be utilized to assemble other 3D model. Second, we construct a 3D shape knowledge graph based on the geometric words, models and their relations. Additionally, we propose a novel graph embedding method to generate embeddings of nodes. Finally, an effective multiple entities' retrieval method is used to handle the 3D model retrieval problem. More specifically, the 3D shape knowledge graph retains the basic structural information and saves these as a set of triples. Any 3D model can find its geometric words in a rich enough knowledge graph. It is reasonable that our approach can solve the cross-domain model retrieval problem. Our approach focuses on the structural information of 3D model and is not restricted by the database. We evaluate the proposed method on the ModelNet40 dataset for the 3D model retrieval task. Meanwhile, we also utilize the ShapeNet dataset to evaluate the performance of cross-domain retrieval task. Experimental results and comparisons with state-of-the-art methods demonstrate that our framework can achieve superior performance.
Documentary Educational Resources (2019)

Abstract Any important contribution to the history of cinema requires more than accomplished filmmakers. Indeed, filmmaking accomplishment itself is nearly always dependent on the availability of exhibition venues and distribution organizations. Documentary Educational Resources (DER) is a crucial distributor for a wide range of ethnographic films from across the world. Founded by John Marshall and Timothy Asch in 1971 in order to make their own films available, DER now makes available to colleges and universities, schools, and festivals, eight hundred films by hundreds of nonfiction filmmakers from across the globe who are committed to cinema as a form of cultural education and immersion. This interview with the three women who have served as DER’s executive directors over recent decades traces the evolution of a model independent distributor.
Positively Labeled White Blood Cell Scan with Eosinophilia and Absence of Infection (2003)

In the labeling of the leukocyte moiety, a higher presence of any leukocyte subpopulation will modify the biodistribution and thus the image interpretation.
SLCO1B1 Gene Variants and Urine Arsenic Metabolites in the Strong Heart Family Study (2013)

Background. Arsenic species patterns in urine are associated with risk for cancer and cardiovascular diseases, and these patterns have often been interpreted as a measure of arsenic metabolism. However, other processes affecting toxicokinetics may influence urine arsenic species patterns. The transporter coded by SLCO1B1 has been shown to transport arsenic species in HEK-293 cells, but human population studies are lacking. Aims. To evaluate associations of urine arsenic metabolites with variants in the candidate gene SLCO1B1 in adults from the Strong Heart Family Study (SHFS). Methods. Arsenic species were measured by anion-exchange HPLC-ICPMS, and % arsenic species biomarkers were calculated as the (%) contribution of inorganic arsenic, monomethylarsonate (MMA) and dimethylarsinate (DMA) to their sum. We estimated associations between % arsenic species and 5 SNPs in the SLCO1B1 gene in 157 participants from 5 families. Linear regression models for the minor allele dose at each SNP accounted for kinships and were adjusted for sex, body mass index and study center. Results. The C allele of rs1564370 was associated with lower %MMA (p = 0.0003) and higher %DMA (p = 0.0002), accounting for 8% of the variance for %MMA and 9% for %DMA. The C/C genotype frequency was 17% and the C/G genotype frequency was 43% at rs1564370. The A allele of rs2291075 was associated with lower %MMA (p = 0.0006) and higher %DMA (p = 0.0014), accounting for 7% of the variance for %MMA and 5% for %DMA. The rs2291075 A/A genotype frequency was 1% and A/G genotype frequency was 15%. These two SNPs had correlation r = 0.42. Conclusions. Common variants in SLCO1B1 were associated with differences in urine arsenic species patterns in a candidate gene study. This may suggest that the % arsenic species interpreted as “arsenic metabolism” biomarkers reflect arsenic toxicokinetics more broadly. Replication of this finding in other populations and analyses with arsenic-related disease outcomes are needed.
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems (2022)

Meta-learning is a branch of machine learning which aims to synthesize data from a distribution of related tasks to efficiently solve new ones. In process control, many systems have similar and well-understood dynamics, which suggests it is feasible to create a generalizable controller through meta-learning. In this work, we formulate a meta reinforcement learning (meta-RL) control strategy that takes advantage of known, offline information for training, such as a model structure. The meta-RL agent is trained over a distribution of model parameters, rather than a single model, enabling the agent to automatically adapt to changes in the process dynamics while maintaining performance. A key design element is the ability to leverage model-based information offline during training, while maintaining a model-free policy structure for interacting with new environments. Our previous work has demonstrated how this approach can be applied to the industrially-relevant problem of tuning proportional-integral controllers to control first order processes [1]. In this work, we briefly reintroduce our methodology and demonstrate how it can be extended to proportional-integral-derivative controllers and second order systems.
Antimicrobial potential of Chlorella sorokiniana on MRSA – An in vitro study and an in silico analysis on ClpP protease (2023)

Methicillin-resistant Staphylococcus aureus (MRSA) strains are a leading cause of communicable disease in community and nosocomial settings. They are responsible for high morbidity and mortality. Researchers currently pursue novel antimicrobials from natural sources against non-traditional drug targets of staphylococci to ensure a pipeline of potent drugs, in the face of rising drug resistance. The focus of this study was to screen compounds from a freshwater isolate of Chlorella sorokiniana for anti-staphylococcal activity, using traditional microbiology, phytochemical analysis and bioinformatics approaches. Chlorella sorokiniana methanol extract was investigated for its antimicrobial potential on Staphylococcus aureus strains (ATCC and MRSA isolates) by Kirby Bauer disc diffusion, broth microdilution, cell cytotoxicity and thin layer chromatography-bioautography (TLC-BA). Two antimicrobial TLC-BA antimicrobial fractions (A and B) were subject to gas chromatography mass spectrometry (GCMS). The structures of 9 compounds representing GCMS peaks were tested in silico, for their pharmacokinetic properties and binding energy efficiency with the target, using Molinspiration tool and Autodock 4.2. Mean zone diameter of inhibition of growth by CSME (20 mg) was 21 mm, MIC/MBC was 0.31/2.5 mg/L. GCMS analysis of TLC fraction-A revealed 31 phytochemicals, of which 2-pentanone,4-hydroxy-4-methyl- had the highest area % (65.61) and TLC fraction-B revealed 4 peaks of which pentadecanoic acid and 1-(+)-ascorbic acid 2,6-dihexadecanoate had the highest area % (45.57, 48.09). In silico analysis of 9 peak compounds on the target of interest showed that compound 2: 2-pentanone,4-hydroxy-4-methyl- and compound 7: 1,2 – benzene dicarboxylic acid, mono (2- ethylhexyl) ester, satisfied Lipinski’s rule of 5, and displayed the least binding energies −6.93 and −5.74 with ClpP protease, thus holding pharmaceutical potential, and supporting further investment into in vitro and in vivo studies. C. sorokiniana, a less studied microalga thus offers a promising natural resource for anti-MRSA phytochemicals, capable of targeting ClpP1 protease. (290 words)
3T MRI of Peripheral Vascular Malformations: Characteristics and Comparison of Two Fat-Saturated sequences: Short Tau Inversion Recovery Versus Three-Dimensional High-Resolution Volume Interpolated Gradient Recalled Echo (2020)

· Höhn F, Hammer S, Fellner C et al. 3T MRI of Peripheral Vascular Malformations: Characteristics and Comparison of Two Fat-Saturated sequences: Short Tau Inversion Recovery Versus Three-Dimensional High-Resolution Volume Interpolated Gradient Recalled Echo. Fortschr Röntgenstr 2021; 193: 446 - 458.
Functional Characterization and Analgesic Effects of Mixed Cannabinoid Receptor/T-Type Channel Ligands (2011)

Our results reveal that a set of novel cannabinioid receptor ligands potently inhibit T-type calcium channels and show analgesic effects in vivo. Our findings suggest possible novel means of mediating pain relief through mixed T-type/cannabinoid receptor ligands.
Donor history of malignancy: A limited risk for heart transplant recipients (2019)

Organ donor contraindications are frequently reassessed for impact on recipient outcomes in attempt to meet demand for transplantation. This study retrospectively analyzed the United Network for Organ Sharing (UNOS) registry for adult heart transplants from 1987 to September 2016 to characterize the impact of donor malignancy history in heart transplantation. Kaplan-Meier estimates illustrated 10-year survival. Propensity score matching was utilized for 1:1 matching of donors with and without history of malignancy, and Cox proportional hazards and logistic regressions were used to analyze the matched population. Of 38 781 heart transplants, 622 (1.6%) had a donor history of malignancy. Cox regressions demonstrated that donor malignancy predicted increased 10-year mortality (HR = 1.16 [1.01-1.33]), but this difference did not persist when conditioned upon 1 year post-transplant survival (log-rank = 0.643). Cox regressions of the propensity score-matched population (455 pairs) found no association between donor malignancy and 10-year mortality (HR = 1.02 [0.84-1.24]). Older age and higher rates of hypertension were observed in donors with a history of malignancy whose recipients died within the first year post-transplant. Therefore, increased recipient mortality is likely due to donor characteristics beyond malignancy, creating the potential for expanded donor selection.
Modeling and simulation of zinc oxide nanowire field effect transistor biosensor (2011)

We are presenting a three-dimensional mathematical model and simulation for zinc-oxide nanowire field effect transistor (ZnO NW-FET) biosensor for detecting streptavidin/biotin binding. Implementing previously performed physical vapor deposition (PVD) techniques, ZnO NWs were synthesized with diameters in the range of 50-120 nm and lengths of 2-7.1 μm [5]. Our model is developed by using these dimensions and incorporating a spherical molecule model with uniform charge distribution that is immersed in a solvent with mobile univalent ions as developed in [1]. Applying Poisson-Boltzmann equation for boundary and continuity conditions, expression for the electrostatic potential distribution is obtained. This distribution is used to obtain the gate voltage and develop the I-V curves for ZnO NW-FET when used as a biosensor. In the saturation region, the I-V curves demonstrate that small changes in the gate voltage leads to exponentially larger changes in the drain current and allows for single biomolecule detection.
Structural characterization of GaN epilayers on silicon: Effect of buffer layers (2011)

Cross-sections of GaN/AlN/3C-SiC/Si(111) system have been studied by electron microscopy techniques. A nanometer thick buffer layer of silicon carbide on Si(111) substrate was formed using an original solid-phase epitaxy method. The subsequent layers of gallium nitride and aluminum nitride were grown by the method hydride-chloride vapor phase epitaxy. The resulting GaN layers display neither threading dislocations nor cracks on any scale. The main fraction of defects in GaN layers have the form of dislocation pileups that are localized at and oriented parallel to the GaN/AlN interface. The dislocation density in the obtained GaN layers is (1–2) × 109 cm−2, which corresponds to a minimum level reported in the available literature. The buffer AlN layer contains nanopores, which reduce the level of stresses at the GaN/AlN interface and thus almost completely inhibit the formation of threading dislocations.
A one-size disposable hearing aid is introduced (2000)

Wayne J. Staab, PhD, of Dr. Wayne J. Staab & Associates, Phoenix, AZ, is a Consultant on the Songbird project. Walter Sjursen, MS, is Project Engineering Manager, Sarnoff Corp., Princeton, NJ. David Preves, PhD, is Vice-President, Research and Development, Songbird Medical Inc., Cranbury, NJ. Tom Squeglia is Vice-President, Sales and Marketing, Songbird Medical Inc. Correspondence to Dr. Preves at Songbird Medical Inc., 5 Cedar Brook Dr., Cranbury, NJ 08512; telephone 609/409–4505, fax 609/409–4510.
Evaluation of cytokines in type 1 diabetes patients with and without retinopathy (2017)

ABSTRACT Introduction: Diabetes mellitus is one of the greatest public health problems in the world; the numerous complications of this disease are the focus of great concern, as they are related to high morbidity and mortality. Among the complications of diabetes, diabetic retinopathy is the most common microvascular complication. Objectives: Evaluate the association of plasma levels of inflammatory cytokines interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), and interferon-gamma (IFN-γ), and anti-inflammatory cytokine interleukin-10 (IL-10) with diabetic retinopathy and the correlation of plasma levels of these cytokines together. Material and method: 125 patients with type 1 diabetes mellitus were included in this study - 55 with retinopathy and 70 without retinopathy. Cytokines IL-6, TNF-α, IFN-γ and IL-10 were determined by flow cytometry. Results and discussion: A significant association of the levels of cytokines IL-6, TNF-α, IFN-γ and IL-10 with retinopathy was not observed, possibly because measurements were performed on plasma samples, but not on vitreous humor. However, a positive correlation of cytokines among themselves (p < 0.001) was observed. Conclusion: Cytokines IL-6, TNF-α, IFN-γ and IL-10 presented a positive correlation among themselves, what suggests that they may act together in the development and progression of vascular complications in diabetes patients.
Impact of ergosterol content on acetic and lactic acids toxicity to Saccharomyces cerevisiae (2022)

Organic acid stress often represents a major hurdle in industrial bio-based microbial processes. Organic acids can be released from lignocellulosic feedstocks pretreatment and can also be desirable products obtained by microbial fermentation with applications in different industrial sectors. Yeasts are prominent cell factories. However, the presence of organic acids can compromise yeast metabolism, impairing fermentation performances and limiting the economic feasibility of the processes. Plasma membrane remodeling is deeply involved in yeast tolerance to organic acids, but the detailed mechanisms and potentials of this phenomenon remain largely to be studied and exploited. We investigated the impact of ergosterol on Saccharomyces cerevisiae tolerance against organic acid stress by coupling in vitro and in vivo assays. In the in vitro assay, synthetic lipid vesicles were prepared containing different concentrations of ergosterol. We observed changes in organic acids diffusion through the membrane as a function of ergosterol content. Then, we extended our approach in vivo, engineering S. cerevisiae with the aim of changing the ergosterol content of cells. We focused on ECM22, an important transcription factor, involved in the regulation of ergosterol biosynthesis. The overexpression of ECM22 was sufficient to increase ergosterol levels in S. cerevisiae, resulting in an enhanced tolerance toward lactic acid stress. In this work we propose an in vitro approach, using synthetic lipid vesicles, as a complementary method to be used when studying the impact of the plasma membrane lipid composition on the diffusion of organic acids.
Measurement of OH concentrations in turbulent diffusion flames using combined LIF and Raman spectroscopy (2002)

Quantification of laser induced fluorescence (LIF) signals of a particular species requires local flame temperature to accurately predict the collisional quenching. Most of the currently available collisional quenching models of OH radical assume equilibrium temperature to evaluate the collisional removing of OH radical from the upper state. This assumption is reasonable for hydrogen flames where near equilibrium exists close to the burner region. However, an attempt to use this assumption in hydrocarbon flames incurs significant errors in the measurement of the absolute concentration of OH radical. This paper presents a technique of combined LIF and Raman spectroscopic measurements, in which local temperature is measured independently from Raman spectra. The measurement of OH radical concentration in natural gas turbulent flames is presented using a combined LIF-Raman spectroscopy technique. For quantification of absolute OH concentration, both measured collider species concentration and equilibrium composition were used. The differences are analyzed and discussed.