gebhart/patrepeval huggingface dataset:
Mcm2, Geminin, and KI67 Define Proliferative State and are Prognostic Markers in Renal Cell Carcinoma (2005)

Although Ki67 is identified as an independent prognostic marker, semiquantitative assessment is difficult due to the very low proliferative fraction identified by this marker. In contrast, Mcm2 identifies an increased growth fraction that is closely linked to grade, provides prognostic information, and is amenable to semiquantitative analysis in routine pathologic assessment.
Effect of balanced versus unbalanced HES solution on cytokine response in a rat model of peritonitis (2012)

Sepsis with multiple organ failure remains a leading cause of death in ICUs. Acute renal failure is a common complication of severe sepsis and septic shock. The effect of hydroxyethyl starch (HES) on the kidney as well as on liver tissue remains controversial and has never been tested in detail. We investigated in a model of fecal peritonitis the influence of fluid resuscitation with HES 6% in unbalanced versus balanced solutions on inflammatory mediator expression in renal and hepatic tissue.
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication (2016)

In this paper, synchronization of an inertial neural network with time-varying delays is investigated. Based on the variable transformation method, we transform the second-order differential equations into the first-order differential equations. Then, using suitable Lyapunov-Krasovskii functionals and Jensen's inequality, the synchronization criteria are established in terms of linear matrix inequalities. Moreover, a feedback controller is designed to attain synchronization between the master and slave models, and to ensure that the error model is globally asymptotically stable. Numerical examples and simulations are presented to indicate the effectiveness of the proposed method. Besides that, an image encryption algorithm is proposed based on the piecewise linear chaotic map and the chaotic inertial neural network. The chaotic signals obtained from the inertial neural network are utilized for the encryption process. Statistical analyses are provided to evaluate the effectiveness of the proposed encryption algorithm. The results ascertain that the proposed encryption algorithm is efficient and reliable for secure communication applications.
Compatibility of common MCM-D dielectric with scanning laser ablation via generation processes (1993)

The use of a scanning laser ablation-based via generation process for MCM-D substrate fabrication is described. The robustnesses of a variety of thin (1-5- mu m-thick) conformal metal masking layers were compared by static exposure in a computer controlled XeCl excimer laser exposure tool. The relative ablation rates of commercially available dielectric materials were compared for a range of fluences from 0 to 600 mJ/cm/sup 2/ using static excimer laser exposure. Based on process limits established by these static test results, generic scanning laser ablation (SLA) processing parameters were established which were successfully used for the fabrication of vias in low-stress, acetylene terminated, and fluorinated polyimides as well as benzocyclobutene (BCB) and polyphenylquinoxalines (PPQs). The extent of soot accumulation during SLA was dependent on the conformal metal masking layer used. Excessive accumulation of soot resulted in mask cracking around the vias. The use of helium as a process gas was found to reduce dramatically the amount of soot that accumulated and consequently to eliminate soot-related mask damage.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Polygonal approximation of planar curves using triangular suppression (2010)

In this paper, we present a novel non-parametric polygonal approximation algorithm for planar curves. The proposed algorithm first selects all the breakpoints on the contour. From this set, a smaller set of high curvature points, cut-points, are obtained. An optimization procedure adaptively finds the best fitting polygonal approximation. Our algorithm adaptively locates segments of the contour with different levels of details. The proposed algorithm follows the contour more closely where the level of details on the curve is high. Experimental results demonstrate that the proposed algorithm is robust for noisy, real-life contours and compares favorably with other algorithms.
Providing Female Role Models in Mathematics and Computer Science. (2005)

The authors explore resources and strategies for providing positive female role models in mathematics and computer science.
Induced lipid peroxidation in ram sperm: semen profile, DNA fragmentation and antioxidant status (2016)

Action of reactive oxygen species, protamination failures and apoptosis are considered the most important etiologies of sperm DNA fragmentation. This study evaluated the effects of induced lipid peroxidation susceptibility on native semen profile and identified the mechanisms involved in sperm DNA fragmentation and testicular antioxidant defense on Santa Ines ram sperm samples. Semen was collected from 12 adult rams (Ovis aries) performed weekly over a 9-week period. Sperm analysis (motility, mass motility, abnormalities, membrane and acrosome status, mitochondrial potential, DNA fragmentation, lipid peroxidation and intracellular free radicals production); protamine deficiency; PRM1, TNP1 and TNP2 gene expression; and determination of glutathione peroxidase (GPx), glutathione reductase, catalase (CAT) and superoxide dismutase activity and immunodetection in seminal plasma were performed. Samples were distributed into four groups according to the sperm susceptibility to lipid peroxidation after induction with ascorbate and ferrous sulfate (low, medium, high and very high). The results were analyzed by GLM test and post hoc least significant difference. We observed an increase in native GPx activity and CAT immunodetection in groups with high susceptibility to induced lipid peroxidation. We also found an increase in total sperm defects, acrosome and membrane damages in the group with the highest susceptibility to induced lipid peroxidation. Additionally, the low mitochondrial membrane potential, susceptible to chromatin fragmentation and the PRM1 mRNA were increased in the group showing higher susceptibility to lipid peroxidation. Ram sperm susceptibility to lipid peroxidation may compromise sperm quality and interfere with the oxidative homeostasis by oxidative stress, which may be the main cause of chromatin damage in ram sperm.
Evaluation of the relationship between competitive advantage and export performance (Case study: Iranian firms exporting biotech products) (2013)

Nowadays, there is nobody in the scientific community to the importance of biotechnology and nanotechnology and
 its impact on various fields of knowledge is not. Knowledge that has driven the development of many countries and
 cause immense upheaval in the department of medicine, pharmacy, agriculture, industry, mining, etc., is. The world
 population is growing with incredible speed, which is estimated by 2013 the world population will reach 7 billion
 people. Certainly one of the most important problems in the future human needs executive officers will be in
 developing countries. The four dimensions of competitive advantage (quality, performance, innovation,
 responsiveness to customers) will be discussed. Using a conceptual model, the relationship between the tense
 competitive advantage in these companies and their export performance is investigated.
Application of universal calibration in gel permeation chromatography for molecular weight determinations of plant cell wall polymers: cotton fiber (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTApplication of universal calibration in gel permeation chromatography for molecular weight determinations of plant cell wall polymers: cotton fiberJudy D. TimpaCite this: J. Agric. Food Chem. 1991, 39, 2, 270–275Publication Date (Print):February 1, 1991Publication History Published online1 May 2002Published inissue 1 February 1991https://pubs.acs.org/doi/10.1021/jf00002a010https://doi.org/10.1021/jf00002a010research-articleACS PublicationsRequest reuse permissionsArticle Views929Altmetric-Citations83LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Reverse Remodeling From Cardiomyoplasty in Human Heart Failure (1995)

These data, while limited to a small number of patients, suggest that CM can reverse remodeling of the dilated failing heart. While systolic squeezing assist effects of CM may play a role in some patients, our study found that this was not required to achieve substantial benefits from the procedure. We speculate that CM may act more passively, like an elastic girdle around the heart, to help reverse chamber remodeling.
Comparison of phase-resolved functional lung (PREFUL) MRI derived perfusion and ventilation parameters at 1.5T and 3T in healthy volunteers (2020)

Significant differences in QDP may be related to field inhomogeneities, which is expressed by increasing skewness and kurtosis at 3T. QQuant reveals only poor reproducibility between 1.5T and 3T. RVent, Q, VDP, SNR and CNR were not altered significantly at the used sequence parameters. Healthy participants with minimal defects present high spatial agreement of QDP and VDP.
Self-organization in brain tumors: how cell morphology and cell density influence glioma pattern formation (2019)

Abstract Modeling cancer cells is essential to better understand the dynamic nature of brain tumors and glioma cells, including their invasion of normal brain. Our goal is to study how the morphology of the glioma cell influences the formation of patterns of collective behavior such as flocks (cells moving in the same direction) or streams (cells moving in opposite direction) referred to as oncostream . We have observed experimentally that the presence of oncostreams correlates with tumor progression. We propose an original agent-based model that considers each cell as an ellipsoid. We show that stretching cells from round to ellipsoid increases stream formation. A systematic numerical investigation of the model was implemented in ℝ 2 . We deduce a phase diagram identifying key regimes for the dynamics (e.g. formation of flocks, streams, scattering). Moreover, we study the effect of cellular density and show that, in contrast to classical models of flocking, increasing cellular density reduces the formation of flocks. We observe similar patterns in ℝ 3 with the noticeable difference that stream formation is more ubiquitous compared to flock formation. Author summary Self-organization is the formation of large-scale multicellular patterns that result exclusively from the interactions amongst constituent single cells. To establish the existence of self-organization in brain tumors we used agent-based modeling based on data extracted from static and dynamic genetically engineered mouse glioma models. Implementation of our model in ℝ 2 identifies the dynamics that lead to formation of flocks (cells moving in a single direction), streams (cells moving in two directions), and cells moving as swarms or scattering. Increasing cellular density reduced formation of flocks and increased the formation of streams both in ℝ 2 and in ℝ 3 . These results demonstrate the detailed mechanism leading to self-organization in brain tumors. As increasing density of oncostreams correlates with tumor malignancy, we establish a pathophysiological link between self-organization of glioma tumors and glioma malignancy. We propose the dismantling of oncostreams as a new therapeutic approach to the treatment of brain tumors.
Prognostic impact of ESR1 mutations in ER+ HER2- MBC patients prior treated with first line AI and palbociclib: An exploratory analysis of the PADA-1 trial. (2020)

1010 Background: The question of which is the best endocrine partner to CDK4/6 inhibitors in first line for ER+ HER2- metastatic breast cancer (MBC) remains open. ESR1 mutations might be of paramount importance, as they confer resistance to AI but not to SERD. In pts treated with first line palbociclib-AI combination (PADA-1 trial, NCT03079011), we investigated ESR1mut detection rate at inclusion, prior to any therapy, and their prognostic impact. Methods: The PADA-1 phase 3 trial (NCT03079011, UCBG-GINECO) evaluates the utility of monitoring the onset of ESR1mut in cell-free DNA (with a ddPCR assay [Jeannot et al, Oncogene 2020]) of pts receiving AI-palbociclib in first line. Included pts had no prior therapy for MBC and no overt resistance to AI. Results: N = 1017 ER+ HER2- MBC pts were included in 22 months from 04/2017 and had their cfDNA tested for ESR1mut at inclusion and during therapy. N = 33/1017 pts had a detectable circulating ESR1mut at inclusion (3.2%, 95%CI [2.2;4.5]), ESR1mut positivity being associated with a prior exposure to AI in the adjuvant setting (p &lt; 0.01). N = 1 pt died after 1 month on treatment. In N = 25/32 evaluable pts (78%), ESR1mut became undetectable in cfDNA (AF &lt; 0.1%) within the first 5 months on treatment, with a median time to ESR1mut ‘clearance’ of 34 days. Among these 25 pts, 14 pts (56%) had ESR1mut detected again during therapy; 2 pts (8%) experienced a progression with no ESR1mut detected; the remaining 9 patients (36%) were still both ESR1mut -free and progression-free at time of analysis. With a median FU time of 12.4 months (range: 0-25.3m) under AI-palbociclib, the 33 ESR1mut-positive pts had a shorter PFS (median: 17.5mo, 95%CI[10.5-NR]) than the 984 ESR1mut-negative pts (median not reached), with an estimated HR = 2.8 [1.6;5.0]. Updated data will be presented at the meeting. Conclusions: ESR1mut are rarely detected in the cfDNA of ER+ HER2- MBC patients with no overt resistance to AI. The quick ‘clearance’ of ESR1mut under treatment and the observed 17.5 months-long median PFS both suggest that the AI-palbociclib combination retain a clinical activity in this population. ESR1mut-positivity prior was however associated with a significantly shorter PFS, suggesting that ESR1mut positivity at baseline could accelerate the onset of resistance to AI-palbociclib. These findings may put into perspective the incoming results of the PARSIFAL trial. Clinical trial information: NCT03079011 .
Mesoporous carbon film via spin coating soft templating method for supercapacitor electrode (2019)

Mesoporous carbon (MPC) films were prepared by using spin coating self-assembly soft templating method onto titanium (Ti) foils as substrates. Carbon precursor of resorcinol (R), formaldehyde (F) and a surfactant of triblock copolymer Pluoronic F127 (F127) which may act as a structure directing agent (SDA) for the pore structure geometry tuning were used in the preparation of the mesoporous carbon films. The samples were then carbonised to obtain the final product of MPC films. The mesostructure was characterised by thermogravimetry (TGA), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) patterns, field emission scanning electron microscopy (FESEM) and electrochemical analyses. The MPC film showed excellent electrochemical property for supercapacitor application by achieving specific capacitance value of 15.23 mF cm-2 at the scan rate of 5 mV s−1 in 1.0 M potassium chloride (KCl) neutral aqueous electrolyte which was approximately 88 times higher than as prepared samples. F127/RF carbon film also displayed outstanding cycle stability with 98% capacitance retention after 1000 cycles. This has proven that the synthesised MPC film-coated titanium foil may be a promising candidate for high performance electric double layer capacitors (EDLC).
The use of delay lines in a ring-oscillator-based combined true random number generator (2012)

This paper presents a novel approach for the design of ring oscillators in a combined true random number generator (TRNG). We propose using delay elements made on carry4 primitives instead of series of inverters or latches in ring oscillators, which enables the construction of many high frequency ring oscillators with different nominal frequencies in the same field programmable gate array (FPGA). The output sequences produced by this type of TRNG pass all NIST 800-22 statistical tests for smaller numbers of ring oscillators than the constructions described in the literature. To assess the unpredictability of the output bits, the restarts mechanism, proposed in earlier papers, was used. Due to the number of ROs with different nominal frequencies and the method of construction of carry4 primitives, it is expected that the proposed TRNG is less sensitive to frequency injection attacks.
Independently updated views (1997)

Independently updated views (IUVs) are updated versions of a relational view. Unlike traditional views, updating an IUV changes only that IUV and not the underlying database. Updates to an IUV are stored in a differential table (DT) and incorporated when the IUV is accessed. There is no restriction on the type of query used to define the IUV. Applications of IUVs include alternative scenarios for decision support, local updating of distributed snapshots, and CAD versioning. IUVs allow versions to be defined on dynamic databases. This may cause inconsistencies because both the IUV and the base tables on which the IUV is defined can be updated independently of one another. We introduce "overlapping updates" that cause such inconsistencies and present algorithms for their detection and resolution using timestamps. These algorithms do not impose additional overhead on the database and require only the modification of the DT. A performance analysis indicates that the cost of querying IUVs is reasonable for a wide range of queries, views, and access strategies. We also consider a materialized implementation of IUVs. Materialized IUVs do not require a DT, relying instead on additional system columns for operation codes and timestamps. Results suggest a mix of implementation strategies for different types of IUV applications, depending on the frequency and nature of queries on the IUVs, the IUV sizes, and how actively the base tables are updated.
Guest Editorial Special Issue for Plenary, Invited, and Selected Papers From the 2018 Asia-Pacific Conference on Plasma and Terahertz Science (2019)

The 2018 Asia-Pacific Conference on Plasma and Terahertz Science (APCOPTS), an international conference intended to be held every two years as the Asia-Pacific version of the International Conference on Plasma Science (ICOPS), provides an excellent platform for academic exchange in the fields. The first APCOPTS was held from August 15 to 18, 2018 and the second APCOPTS will be combined with ICOPS in Singapore.
Climate Services for Agricultural and Livestock Producers: What have we learned? (2020)

Climate services are scientifically based products that enhance users’ understanding on the impacts of climate on their decisions and actions. Decision Support Systems (DSSs) are programs that use models and other information to make site-specific recommendations for farm management-related activities. Climate variability is a source of production risk worldwide and is associated with other risks such as pest and disease incidence. Extreme climate events such as drought, intense precipitations, and pest or disease outbreak can also affect commodity prices and increase marketing risk. However, climate forecasts alone usually do not provide actionable information for improving decisions and policy. Climate forecasts are the basis for co-development of DSSs to support improved decisions at different scales to maximize profits and input use, and to minimize climate risks, and negative environmental externalities. Major advances in developing DSSs occurred through design, diffusion, and adoption made possible through continuous interaction among scientists, boundary organizations and end users in a participatory research and development process. This article describes the evolution of this process and addresses issues of co-development, participation, scale, and future research needs through a case study that highlights commonalities and differences between producer needs, perceptions, and adoption at two research sites (one in Florida, USA and the other in southeastern Paraguay).
Measuring experience of hospitality: scale development and validation (2017)

This paper describes the development of the Experience of Hospitality Scale (EH-Scale) for assessing hospitality in service environments from a guest point of view. In contrast to other scales, which focus specifically on staff behaviour, the present scale focuses on the experience of hospitality offered by the organisation as a whole, also incorporating the physical service environment. The development of the scale consisted of an exploratory phase (two qualitative studies) and a confirmative phase (two quantitative studies). The result is a thirteen-item scale containing three underlying experiential factors of hospitality: the experience of welcome, the experience of care, and the experience of comfort.
A brave new world as Macquarie Island moves towards recovery (2012)

More than one year after aerial baiting to rid Macquarie Island of its destructive rabbits, rats and mice, there are encouraging signs that the eradication effort has been successful.
Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research (2019)

In recent years, the development of high-throughput screening (HTS) technologies and their establishment in an industrialized environment have given scientists the possibility to test millions of molecules and profile them against a multitude of biological targets in a short period of time, generating data in a much faster pace and with a higher quality than before. Besides the structure activity data from traditional bioassays, more complex assays such as transcriptomics profiling or imaging have also been established as routine profiling experiments thanks to the advancement of Next Generation Sequencing or automated microscopy technologies. In industrial pharmaceutical research, these technologies are typically established in conjunction with automated platforms in order to enable efficient handling of screening collections of thousands to millions of compounds. To exploit the ever-growing amount of data that are generated by these approaches, computational techniques are constantly evolving. In this regard, artificial intelligence technologies such as deep learning and machine learning methods play a key role in cheminformatics and bio-image analytics fields to address activity prediction, scaffold hopping, <i>de novo</i> molecule design, reaction/retrosynthesis predictions, or high content screening analysis. Herein we summarize the current state of analyzing large-scale compound data in industrial pharmaceutical research and describe the impact it has had on the drug discovery process over the last two decades, with a specific focus on deep-learning technologies.
Gatewood and the First Thenar Pedicle (1984)

Los Angeles and Downey, Calif. From the Division of Orthopaedic Surgery at the UCLA Medical Center and the Department of Plastic Surgery at the Rancho Los Amigos/ U.S.C. Medical Center.