gebhart/patrepeval huggingface dataset:
Displacement and Nonlinear Chromatographic Techniques in the Investigation of Interaction of Noncompetitive Inhibitors with an Immobilized α3β4 Nicotinic Acetylcholine Receptor Liquid Chromatographic Stationary Phase (2002)

A liquid chromatographic column containing immobilized alpha3beta4 nicotinic acetylcholine receptors (alpha3beta4-nAChRs) has been used to determine the equilibrium association constants (Ka), desorption rate constants (kd), and adsorption rate constants (ka) for the noncompetitive inhibitors: mecamylamine, ketamine, bupropion, and dextromethorphan. Displacement chromatography, with mecamylamine as the displacer, was used to verify that the four compounds bound to the same site on the immobilized alpha3beta4-nAChRs. Nonlinear chromatographic techniques were then utilized to calculate the Ka, ka, and kd values associated with the formation of the noncompetitive inhibitor-alpha3beta4-nAChR complexes. The ka values determined in this study ranged from 19.7 to 10.5 microM(-1) sec(-1), with a relative order of mecamylamine > dextromethorphan > or = ketamine > bupropion. The kd values determined in this study indicated that dextromethorphan-induced inhibition should produce a longer recovery time than the other three NCIs. This was consistent with results from a previous in vitro study. The data from this study indicate that the immobilized alpha3beta4-nAChR column and nonlinear chromatography can be used in the study of NCIs at the alpha3beta4-nAChR.
Observers for induction motor state and parameter estimation (1991)

The Kalman filter in its basic form is a state estimator and can be applied to the problem of estimating induction motor rotor currents in a vector control scheme. This filter is shown to combine information from the plant model with output measurements to produce an optimal estimate of the unmeasured states. Also described is the application of the extended Kalman filter algorithm to the online estimation of rotor resistance in an induction motor drive. Significant savings in computing requirements are obtained with a reduced-order model of the motor, in which measured, rather than computed, values of stator currents are used.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Gas permeability of a polystyrene/polybutadiene block copolymer possessing a misoriented lamellar morphology (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTGas permeability of a polystyrene/polybutadiene block copolymer possessing a misoriented lamellar morphologyJ. Csernica, R. F. Baddour, and R. E. CohenCite this: Macromolecules 1989, 22, 3, 1493–1496Publication Date (Print):March 1, 1989Publication History Published online1 May 2002Published inissue 1 March 1989https://pubs.acs.org/doi/10.1021/ma00193a085https://doi.org/10.1021/ma00193a085research-articleACS PublicationsRequest reuse permissionsArticle Views157Altmetric-Citations27LEARN 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
Integrating asynchronous observations for mobile robot position tracking in cooperative environments (2009)

This paper presents an asynchronous particle filter algorithm for mobile robot position tracking, taking into account time considerations when integrating observations being delayed or advanced from the prior estiamate time point. The interest of that filter lies in cooperative environments and in fast vehicles. The paper studies the first case, where a sensor network shares perception data with running robots that receive accurate obeservations with large delays due to acquisition, processing and wireless communications. Promising simulated results comparing a basic particle filter and the proposed one are shown. The paper also investigates a situation where a robot is tracking its position, fusing only odometry and observations from a camera network partially covering the robot path.
BECN1/Beclin 1 sorts cell-surface APP/amyloid β precursor protein for lysosomal degradation (2016)

The regulation of plasma membrane (PM)-localized transmembrane protein/receptor trafficking has critical implications for cell signaling, metabolism and survival. In this study, we investigated the role of BECN1 (Beclin 1) in the degradative trafficking of PM-associated APP (amyloid β precursor protein), whose metabolism to amyloid-β, an essential event in Alzheimer disease, is dependent on divergent PM trafficking pathways. We report a novel interaction between PM-associated APP and BECN1 that recruits macroautophagy/endosomal regulatory proteins PIK3C3 and UVRAG. We found that BECN1 promotes surface APP internalization and sorting predominantly to endosomes and endolysosomes. BECN1 also promotes the targeting of a smaller fraction of internalized APP to LC3-positive phagophores, suggesting a role for BECN1-dependent PM macroautophagy in APP degradation. Furthermore, BECN1 facilitates lysosomal degradation of surface APP and reduces the secretion of APP metabolites (soluble ectodomains, sAPP). The association between APP and BECN1 is dependent on the evolutionarily conserved domain (ECD) of BECN1 (amino acids 267-337). Deletion of a BECN1 ECD subregion (amino acids 285-299) did not impair BECN1- PIK3C3 interaction, PtdIns3K function or macroautophagy, but was sufficient to impair the APP-BECN1 interaction and BECN1's effects on surface APP internalization and degradation, resulting in increased secretion of sAPPs. Interestingly, both the BECN1-APP association and BECN1-dependent APP endocytosis and degradative trafficking were negatively regulated by active AKT. Our results further implicate phosphorylation of the BECN1 Ser295 residue in the inhibition of APP degradation by AKT. Our studies reveal a novel function for BECN1 in the sorting of a plasma membrane protein for endolysosomal and macroautophagic degradation.
Thermal conductivity enhancement of laser induced graphene foam upon P3HT infiltration (2016)

Significant research has been dedicated to the exploration of high thermal conductivity polymer composite materials with conductive filler particles for use in heat transfer applications. However, poor particle dispersibility and interfacial phonon scattering have limited the effective composite thermal conductivity. Three-dimensional foams with high ligament thermal conductivity offer a potential solution to the two aforementioned problems but are traditionally fabricated through expensive and/or complex manufacturing methods. Here, laser induced graphene foams, fabricated through a simple and cost effective laser ablation method, are infiltrated with poly(3-hexylthiophene) in a step-wise fashion to demonstrate the impact of polymer on the thermal conductivity of the composite system. Surprisingly, the addition of polymer results in a drastic (250%) improvement in material thermal conductivity, enhancing the graphene foam's thermal conductivity from 0.68 W/m-K to 1.72 W/m-K for the fully infiltrated composite material. Graphene foam density measurements and theoretical models are utilized to estimate the effective ribbon thermal conductivity as a function of polymer filling. Here, it is proposed that the polymer solution acts as a binding material, which draws graphene ligaments together through elastocapillary coalescence and bonds these ligaments upon drying, resulting in greatly reduced contact resistance within the foam and an effective thermal conductivity improvement greater than what would be expected from the addition of polymer alone.
Learning Ex Nihilo (2020)

This paper introduces, philosophically and to a degree formally, the novel concept of learn- ing ex nihilo, intended (obviously) to be analogous to the concept of creation ex nihilo. Learning ex nihilo is an agent’s learning “from nothing”, by the suitable employment of inference schemata for deductive and inductive reasoning. This reasoning must be in machine-verifiable accord with a formal proof/argument theory in a cognitive calculus (i.e., here, roughly, an intensional higher-order multi-operator quantified logic), and this reasoning is applied to percepts received by the agent, in the context of both some prior knowledge, and some prior and current interests. Learning ex nihilo is a challenge to con- temporary forms of ML, indeed a severe one, but the challenge is here offered in the spirit of seeking to stimulate attempts, on the part of non-logicist ML researchers and engineers, to collaborate with those in possession of learning-ex nihilo frameworks, and eventually attempts to integrate directly with such frameworks at the implementation level. Such integration will require, among other things, the symbiotic interoperation of state-of-the- art automated reasoners and high-expressivity planners, with statistical/connectionist ML technology.
Valuation (2002)

Studies of corporate investment practices (Seitz and Ellison, 1995) carried out over the past 40 years have shown that the payback and accounting rate of return approaches were the preferred decision methods in earlier years. By 1988, however, over 75% of companies were using the DCF approach to calculate the net present values (NPVs) of potential investment outlays and inflows.KeywordsShare PriceCapital BudgetGood Corporate GovernanceMaximize Shareholder WealthReturn ApproachThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
[The effect of occlusion of the better seeing eye on the function of the visual system in children with unilateral amblyopia]. (1994)

Vision acuity and visual evoked potentials (VEP) to a homogeneous light field and chess field reversion were studied in children aged 5-6 years with unilateral amblyopia before and after 3-month direct total occlusion of the intact eye. Occlusion of the intact eye resulted in improvement of the vision acuity and VEP of the amblyopic eye, that correlated with the degree of amblyopia. At the same time examinations of the intact eyes revealed reduced amplitude of VEP to large and increased latency to small chess pattern cells but no changes of the vision acuity. The results evidence the necessity of monitoring the occlusion by VEP recording to prevent the detrimental effects of visual deprivation on the development of the system of vision in a child.
Understanding "SRV": A Numerical Investigation of "Wet" vs. "Dry" Microseismicity during Hydraulic Fracturing (2012)

Abstract Effective monitoring of hydraulic fracturing stimulations is critical to their optimization, and the evaluation of field microseismic data is now commonly used in many of the active shale plays for this purpose. The concept of Stimulated Reservoir Volume (SRV), for example, is a common technique wherein the extent of the microseismic data is used to represent the size of the fluid drainage area for a fracture or well. A principal challenge with the interpretation of microseismic data - and its use to determine drainage area or some other metric for the success of the stimulation - is the understanding of the actual cause of the microseismicity itself. Basic geomechanics principles show that rock failure - the cause of microseismicity - is a result of changes in the in-situ effective stresses relative to a given rock strength. Effective stress - which is the stress acting on the rock matrix - may change either through a change in pore pressure (leading to ‘wet’ microseismicity) or through a change in the total stress (leading to ‘dry’ microseismicity). Dry microseismicity may occur well beyond the pressure field and be hydraulically disconnected from the wellbore. In this paper, we present the results of a numerical study of hydraulic fracturing-induced microseismicity using a discrete element code, where the mechanical behavior of the natural fractures is modeled explicitly, which allows for the quantitative evaluation of ‘wet’ versus ‘dry’ microseismicity.
Pending Interest Table Sizing in Named Data Networking (2015)

Named Data Networking (NDN) has emerged as a promising candidate for shifting Internet communication model from host-centric to content-centric. A core component of NDN is its stateful forwarding plane: Content Routers keep track of pending requests (Interests) storing them in dedicated tables at routers (Pending Interest Tables). A thorough analysis of PIT scalability is fundamental for deploying NDN as a whole and questions naturally arise about memory requirements and feasibility at wire-speed. While previous works focus on data structures design under the threat of PIT state explosion, we develop for the first time an analytical model of PIT dynamics as a function of relevant system parameters. We provide a closed form characterization of average and maximum PIT size value at steady state. We build an experimental platform with high speed content router implementation to investigate PIT dynamics and to confirm the accuracy of our analytical findings. Finally, we provide guidelines on optimal PIT dimensioning and analyze the case of an ISP aggregation network with a trace-driven packet delay distribution. We conclude that, even in absence of caching and under optimal network bandwidth usage, PIT size results to be small in typical network settings.
Antimicrobial Peptides from Amphibian Skin: An Overview (2007)

Over the past three decades, numerous peptides have been isolated from amphibian skin secretions. Many of these peptides were shown to be homologous to hormones and neurotransmitters of mammals. In recent years it has been shown that these secretions also contain a multitude of antimicrobial peptides. Most of these peptides are positively charged and have a propensity for forming an amphipathic helix. Other types of peptides have been detected as well, including one group which contain D-allo-isoleucine in their sequences. This work has mainly been done with three species from different families, Xenopus laevis, Bombina variegata and Rana esculenta. Each of these frogs produces distinct sets of peptides which are not related to those of other species. It can therefore be expected that many additional peptides with antimicrobial activity are present in amphibian species from other families.
Fibrinolysis: The Key to New Pathogenetic Mechanisms (2008)

The fibrinolytic system includes a broad spectrum of proteolytic enzymes with physiological and pathophysiological functions in several processes, such as haemostatic balance, tissue remodeling, tumor invasion, angiogenesis and reproduction. The main enzyme of the plasminogen activator system is plasmin, which is responsible for the degradation of fibrin into soluble degradation products. The activation of plasminogen into plasmin is mediated by two types of activators, urokinase-type plasminogen activator (uPA) and tissue-type plasminogen activator (tPA). The activity of both is regulated by specific plasminogen activator inhibitors (PAIs). There are 3 types of PAIs described so far but the most important fibrinolytic inhibitor in vivo is PAI type 1 (PAI-1). Among others, the presence of metabolic syndrome and the -675 4G/5G promoter polymorphism are known to be modulators of PAI-1 levels. Besides their fibrinolytic profile, plasmin and plasminogen activators are implicated in tissue proliferation and cellular adhesion, as they can proteolytically degrade the extracellular matrix and regulate the activation of both growth factors and matrix metalloproteinases. By all these means, the fibrinolytic system is also involved in physiological processes, and in pathological situations such as thrombosis, arteriosclerosis, endometriosis and cancer. PAI 1 has been studied in different settings with thrombotic pathophysiology, such as coronary artery disease and ischaemic stroke. Controversial results have been published and concerns about study designs or presence of confounders have been claimed to be responsible of them. Recently, its involvement in adverse thrombotic events related to the modern drug-eluting coronary stents has renewed the interest of its study. PAI-1 also plays an important role in signal transduction, cell adherence, and migration. Indeed, studies of several types of cancers, including breast cancer, have shown that increased uPA and PAI-1 levels are associated with aggressive tumor behavior and poor prognosis. Endometriosis is defined by the presence of endometrial glands and stroma outside the uterus with marked ability to attach and invade the peritoneum. It is one of the most frequent benign gynecological diseases that affect women with pelvic pain or infertility during their reproductive age. Immune system disorders, genetic predisposition, altered peritoneal environment and endometrial alterations are believed to increase the susceptibility to endometriosis. The plasminogen activator system may be involved in this process, where local extracellular proteolysis plays a crucial role. Altered expression of several components of the fibrinolytic system in both eutopic and ectopic endometrium and peritoneal fluid of women with the disease has been implicated not only in the onset, but also in the progression of the endometriotic lesions.
Interleukin Inhibitors in Cytokine Release Syndrome and Neurotoxicity Secondary to CAR-T Therapy (2022)

More lines of research should be opened to elucidate the true implications of these drugs in treating the side effects of CAR-T therapy.
siRNA Delivery Strategies: A Comprehensive Review of Recent Developments (2017)

siRNA is a promising therapeutic solution to address gene overexpression or mutations as a post-transcriptional gene regulation process for several pathological conditions such as viral infections, cancer, genetic disorders, and autoimmune disorders like arthritis. This therapeutic method is currently being actively pursued in cancer therapy because siRNA has been found to suppress the oncogenes and address mutations in tumor suppressor genes and elucidate the key molecules in cellular pathways in cancer. It is also effective in personalized gene therapy for several diseases due to its specificity, adaptability, and broad targeting capability. However, naked siRNA is unstable in the bloodstream and cannot efficiently cross cell membranes besides being immunogenic. Therefore, careful design of the delivery systems is essential to fully utilize the potential of this therapeutic solution. This review presents a comprehensive update on the challenges of siRNA delivery and the current strategies used to develop nanoparticulate delivery systems.
Dynamic Visualization of Graphs with Extended Labels (2006)

The paper describes a novel technique to visualize graphs with extended node and link labels. The lengths of these labels range from a short phrase to a full sentence to an entire paragraph and beyond. Our solution is different from all the existing approaches that almost always rely on intensive computational effort to optimize the label placement problem. Instead, we share the visualization resources with the graph and present the label information in static, interactive, and dynamic modes without the requirement for tackling the intractability issues. This allows us to reallocate the computational resources for dynamic presentation of real time information. The paper includes a user study to evaluate the effectiveness and efficiency of the visualization technique.
Checkpoint and recovery methods in the ParaSol simulation system (1997)

State-saving operations are a major source of overheads in optimistic and adaptive parallel discreteevent simulations.
Nitrogen hurdle of host alternation for a polyphagous aphid and the associated changes of endosymbionts (2016)

Low proportion of essential amino acids (EAAs) is one of the barriers for animals to use phloem as a diet. Endosymbionts with EAAs synthesis functions are considered crucial for ameliorating the lack of EAAs in insects' diets. In this study, we transferred the insects from a cabbage-reared Myzus persicae population onto 3 new plant species including eggplant, tobacco and spinach. The performance on these plants was evaluated and the dynamics of endosymbionts in relation to this host alternation were recorded. We found that the EAAs ratio in phloem was largely determined by the concentrations of non-essential amino acids and the higher proportion of EAAs seemed to favor the population establishment on new plant species and the growth of primary endosymbionts inside insects, which indicated that nitrogen quality was an important factor for aphids to infest and spread on new plant hosts.
Flow cytometry for rapid assessment of viability after exposure to a quaternary ammonium compound (1996)

The use of flow cytometry to rapidly assess the viability of Pseudomonas spp. and Staphylococcus spp. after exposure to a quaternary ammonium compound (QAC) was investigated using rhodamine 123 (Rh 123), Stain A (LIVE Stain) accumulating in viable but not in dead cells (Live/Dead Bac light bacterial viability kit, Molecular Probes Inc., Eugene, OR, USA), and Sytox green (Molecular Probes) accumulating in dead but not viable cells. Staining conditions were optimized for each stain. The fraction of viable cells after exposure to benzalkonium chloride was determined by using the three staining techniques and colony counts on agar medium. For all Staphylococcus spp. tested there was a high correlation between the methods based on flow cytometry and colony counts irrespective of which stain was used. Although viable, all Pseudomonas spp. tested accumulated Rh 123 poorly and about 30% failed to accumulate LIVE stain as well. However, the correlation between colony counts and Sytox green labelling of Pseudomonas spp. was high. Our results indicate that flow cytometry together with live or dead cell labelling can be used to study the bactericidal effect of QACs. The methods based on LIVE stain and Sytox green were simpler and less time consuming than Rh 123 labelling. Only Sytox green could be used with all strains of Staphylococcvs and Pseudomonas tested.
Framework for Detection of Malicious Activities in IoT Networks using Keras Deep Learning Library (2019)

Secure and reliable services of the smart cities are generally depend on the reliable services provided by different devices of the Internet of Things ecosystem and Internet of Things backbone networks. In order to provide secure and reliable services, there is need to install intrusion detection mechanism to detect malicious and intrusions activities of the malicious attackers on the IoT network. This paper presents a framework for detection of malicious activities in IoT Backbone Networks using Keras Deep Learning Library. The proposed framework uses four different deep learning models such as Multi Layer Perceptron (MLP), Convolutional Neural Networks (CNN), Deep Neural Networks (DNN) and Autoencoder for predicting the malicious attacks. Performance evaluation of the proposed framework is done using two well known datasets such as UNSW-NB15 and NSL-KDD99 and its result analysis are discussed in terms of accuracy, RMSE and F1-score.