gebhart/patrepeval huggingface dataset:
Using PPP Information to Implement a Global Real-Time Virtual Network DGNSS Approach (2022)

Differential GNSS (DGNSS) has been demonstrated to provide reliable, high-quality range correction information enabling real-time navigation with centimeter to sub-meter accuracy, which is required for applications such as connected and autonomous vehicles. However, DGNSS requires a local reference station near each user. For a continental or global scale implementation, this information dissemination approach would require a dense network of reference stations whose construction and maintenance would be prohibitively expensive. Precise Point Positioning (PPP) affords more flexibility as a public service for Global Navigation Satellite Systems (GNSS) receivers, but its State Space Representation (SSR) format is not supported by most receivers in the field or on the market. This article proposes a novel Virtual Network DGNSS (VNDGNSS) approach and an optimization algorithm that is key to its implementation. The approach capitalizes on the existing PPP infrastructure without the need for new physical reference stations. Specifically, no reference station is needed in the local vicinity of any user. By connecting to public GNSS SSR data services, a VNDGNSS server maintains current information about satellite code bias, satellite orbit and clock, and atmospheric models. Construction of the Radio Technical Commission for Maritime Services (RTCM) Observation Space Representation (OSR) messages from this SSR information requires both the signal time-of-transmission and the satellite position at that time which are consistent with the time-of-reception for each client. This article presents an algorithm to determine these quantities. Then the VNDGNSS computes and transmits RTCM OSR messages to user receivers. This approach achieves global dissemination coverage for real-time navigation without the need for additional local base stations near each user. The results of real-time stationary and moving platform evaluations are included, using u-blox M8P and ZED-F9P receivers. The performance surpasses the Society of Automotive Engineering (SAE) specification (68% of horizontal error <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\leqslant$</tex-math></inline-formula> 1.5 m and vertical error <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\leqslant$</tex-math></inline-formula> 3 m) and shows significantly better horizontal performance than GNSS Open Service (OS). The moving tests also show better horizontal performance than the ZED-F9P receiver with Satellite Based Augmentation Systems (SBAS) enabled and achieve the lane-level accuracy (95% of horizontal errors less than 1 m).
Plasminogen Activator Inhibitor-1 in the Pathogenesis of Asthma (2004)

Plasminogen activator inhibitor (PAI)-1 is the main inhibitor of the fibrinolytic system and is known to play an essential role in tissue remodeling. Recent evidence indicates that chronic asthma may lead to tissue remodeling such as subepithelial fibrosis and extracellular matrix (ECM) deposition in the airways. However, the role of PAI-1 in asthma is unknown. Recently the mast cell (MC), which plays a major role in asthma, was found as a novel source of PAI-1, and a large number of MCs expressing PAI-1 are infiltrated in the airways of patients with severe asthma. Furthermore, PAI-1-deficient mice show reduced ECM deposition in the airways of a murine model of chronic asthma by inhibiting MMP-9 activity and fibrinolysis. In a human study, the 4G allele frequency was significantly higher in the asthmatic patients than in the control group. In view of the findings that the 4G allele is associated with elevated plasma PAI-1 level, elevated PAI-1 level in the lung may contribute to the development of asthma. In summary, PAI-1 may play an important role in the pathogenesis of asthma and further studies evaluating the mechanisms of PAI-1 action may lead to the development of a novel therapeutic target for the treatment and prevention of asthma.
Automatic Insertion of Accents in French Text (1998)

Automatic accent insertion (AAI ) is the problem of re-inserting accents (diacritics) into a text where they are missing. Unaccented French texts are still quite common in electronic media, as a result of a long history of character encoding problems and the lack of well-established conventions for typing accented characters on computer keyboards. We present an AAI method for French, based on a stochastic language model. This method was implemented into a program and C library of functions, which are now commercially available. Our experiments show that French text processed with this program contains less than one accent error per 130 words. We also show how our AAI method can be used to do on-the-fly accent insertions within a word-processing environment, which makes it possible to write in French without having to type accents. A prototype of such a system was integrated into the Emacs editor, and is now available to all students and employees of the Universit&apos;e de Montr&apos;eal&apos;s compu...
β-Synuclein gene alterations in dementia with Lewy bodies (2004)

Mutations in the beta-synuclein gene may predispose to DLB.
Linear versus conformational variation of V3 neutralization domains of HIV-1 during experimental and natural infection (1989)

From the Human Retrovirus Laboratory, Academic Medical Center, Amsterdam, The Netherlands *National Cancer Institute, FCRF, Frederick, Maryland, USA.
Cracking Parameter of High Strength Steels related to heat affected zone cracking (1968)

Weld cracking susceptibility, or simply, weldability, is a most significant problem in utilizing high strength steels.A new formula, based on the result of restraint weld cracking test, is herein proposed for the calculation of the cracking parameter Pc: Pc=C, %+Si, %/30+Mn, %/20+Cu, %/20+Ni, %/60+Cr, %/20+Mo, %/15+V, %/10+5B, %+t, mm/600+H, cc/100g/60(t: plate thickness, H: diffusible hydrogen in weld metal)Cracking parameters calculated from this formula have a good correlatioh with the test data obtained from the y-groove restraint carcking tests using 200 types of high strength steel.The carbon equivalents adopted in JIS and the result of weld carcking tests correspondingly indicate that the steel with higher carbon equivalent is more susceptible to weld cracking. However, data are scattered so widely that the carbon equivalents cannot be applied for estimating weld cracking susceptibilities of high strength steels.Since the carbon equivalent specified in JIS does not include the terms of diffusible hydrogen and plate thickness, even the steels with the same carbon equivalents reveal a higher cracking susceptibility when their diffusible hydrogen content or plate thickness value increases.Comparing with some typical carbon equivalents, which have been suggested so far, Pc's present the best agreement in predicting the weld cracking susceptibilities.Although there is a weak trend that the higher the maximum hardness in HAZ, the higher the weld carcking susceptibility is, the maximum hardness does not represent strictly the weld cracking susceptibility.The relationship is investigated between cracking parameters, Pc's, and the preheating temperature to prevent weld cracking and the following equation is obtained.T(°C)=1440 Pc-392
Amphetamine Radioimmunoassay– Structure Versus Reactivity (1981)

Over 60 different amphetamine-related amines were analyzed by radioimmunoassay (RIA) at several concentrations. An attempt is made to relate structural differences to the affinity of the compounds with The RIA amphetamine antibody. The effects of substituent placement in the amphetamine molecule are studied. Addition of groups to the para position of amphetamine increased reactivity whereas changes in all positions reduced reactivity.
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques (2020)

The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly spread to more than 180 countries, and about 3,519,901 confirmed cases along with 247,630 deaths globally as on May 4, 2020. The absence of any active therapeutic agents and the lack of immunity against COVID-19 increases the vulnerability of the population. Since there are no vaccines available, social distancing is the only feasible approach to fight against this pandemic. Motivated by this notion, this article proposes a deep learning based framework for automating the task of monitoring social distancing using surveillance video. The proposed framework utilizes the YOLO v3 object detection model to segregate humans from the background and Deepsort approach to track the identified people with the help of bounding boxes and assigned IDs. The results of the YOLO v3 model are further compared with other popular state-of-the-art models, e.g. faster region-based CNN (convolution neural network) and single shot detector (SSD) in terms of mean average precision (mAP), frames per second (FPS) and loss values defined by object classification and localization. Later, the pairwise vectorized L2 norm is computed based on the three-dimensional feature space obtained by using the centroid coordinates and dimensions of the bounding box. The violation index term is proposed to quantize the non adoption of social distancing protocol. From the experimental analysis, it is observed that the YOLO v3 with Deepsort tracking scheme displayed best results with balanced mAP and FPS score to monitor the social distancing in real-time.
The chemistry and binding properties of aluminium phosphates (1977)

J. H. Morris, P. G. Perkins, A. E. A. Rose and W. E. Smith, Chem. Soc. Rev., 1977, 6, 173 DOI: 10.1039/CS9770600173
Evolving intelligent text-based agents (2000)

In this paper we describe our neuro-genetic approach to developing a multi-agent system (MAS) which forages as well as meta-searches for multi-media information in online information sources on the ever-changing World Wide Web. We present EVA, an intelligent agent system that supports 1) multiple Web agents working together concurrently and collaboratively to achieve their common goal, 2) the evolution of these Web agents and the user profiles to achieve a better filtering, classification, and categorization performance, and 3) longer-term adaptation by using our unique neuro-genetic algorithm. Individual Web agents use neural networks for local searching and learning. Genetic algorithms are used to facilitate the evolution of agents on a global scale. NLP technology allows users to write sophisticated queries, and allows the system to extract important information from the user queries and the retrieved documents. The new text categorization technology used by EVA, which is also based on the neuro-genetic algorithm, can learn to automatically categorize and classify Web pages with high accuracy, using as few terms as possible. Additionally, we have developed a technique for integrating meta-searching and Web-crawling to produce intelligent agents that can retrieve documents more efficiently, and a self-feedback or automatic relevance feedback mechanism to automatically train the Web agents, without human intervention. This algorithm, together with the neuro-genetic algorithm, has greatly enhanced the autonomy of the Web agents.
CFD modeling of gas‐fluidized beds with a bimodal particle mixture (2001)

Abstract A computational fluid dynamics model was developed for gas‐solid fluidized beds containing a mixture of two particle species. To calculate stresses of the solid phase, the kinetic theory of granular flow was extended to consider a binary mixture of smooth, nearly elastic, spheres. The developed model was simulated to demonstrate key features of binary mixture fluidization. Bed expansion with a binary mixture of different size particles, but with identical densities, was much higher than that of a system consisting of mono‐sized particles of the same mean size as the bimodal mixture. Minimum fluidization velocity for the binary particle system was significantly lowered. The mixing behavior of the binary mixture of particles, characterized by the mixing index, increased with increasing superficial gas velocity. For a binary mixture of particles of larger size with lower density and smaller size with higher density, larger, lighter particles segregated to the top of the fluid bed, while smaller, heavier particles segregated to the bottom. With increasing fluidization velocity, this segregation pattern reversed and “inversion” occurred. The drag and gravity force difference between small, heavy particles and large, light particles was dominant at low gas velocities. With an increase in gas velocity, however, the gradients in granular temperature and pressure became dominant terms in the equations for the relative force and thus velocity between two different particle species.
Modellreaktionen zur stereokontrollierten Synthese von Aminopolyolen; Reduktion von Isoxazolinen mit freier oder geschützter Hydroxygruppe in 4‐Position oder in Seitenketten (1981)

Substituenteneffekte auf die asymmetrische Induktion bei Hydrid‐Additionen wurden an Isoxazolin‐Derivaten untersucht; die Ergebnisse, die für die Synthese von hydroxylierten Aminosäuren, Sphingolipidbasen oder Aminozuckern von Bedeutung sind, lassen sich mit den Modellen (1) und (2) rationalisieren. magnified image
Scalable String Reconciliation by Recursive Content-Dependent Shingling (2019)

We consider the problem of reconciling similar, but remote, strings with minimum communication complexity. This "string reconciliation" problem is a fundamental building block for a variety of networking applications, including those that maintain large-scale distributed networks and perform remote file synchronization. We present the novel Recursive Content-Dependent Shingling (RCDS) protocol that is computationally practical for large strings and scales linearly with the edit distance between the remote strings. We provide comparisons to the performance of Rsync, one of the most popular file synchronization tools in active use. Our experiments show that, with minimal engineering, RCDS outperforms the heavily optimized Rsync in reconciling release revisions for about 51% of the 5000 top starred git repositories on GitHub. The improvement is particularly evident for repositories that see frequent, but small, updates.
Sequence specific binding of chlamydial histone H1-like protein (1996)

Chlamydia trachomatis is one of the few prokaryotic organisms known to contain proteins that bear homology to eukaryotic histone H1. Changes in macromolecular conformation of DNA mediated by the histone H1-like protein (Hc1) appear to regulate stage specific differentiation. We have developed a cross-linking immunoprecipitation protocol to examine in vivo protein-DNA interaction by immune precipitating chlamydial Hc1 cross linked to DNA. Our results strongly support the presence of sequence specific binding sites on the chlamydial plasmid and hc1 gene upstream of its open reading frame. The preferential binding sites were mapped to 520 bp BamHI-XhoI and 547 bp BamHI-DraI DNA fragments on the plasmid and hc1 respectively. Comparison of these two DNA sequences using Bestfit program has identified a 24 bp region with >75% identity that is unique to the chlamydial genome. Double-stranded DNA prepared by annealing complementary oligonucleotides corresponding to the conserved 24 bp region bind Hc1, in contrast to control sequences with similar A+T ratios. Further, Hc1 binds to DNA in a strand specific fashion, with preferential binding for only one strand. The site specific affinity to plasmid DNA was also demonstrated by atomic force microscopy data images. Binding was always followed by coiling, shrinking and aggregation of the affected DNA. Very low protein-DNA ratio was required if incubations were carried out in solution. However, if DNA was partially immobilized on mica substrate individual strands with dark foci were still visible even after the addition of excess Hc1.
An ID/locator split architecture of future networks (2009)

The ID/locator split concept has recently been introduced into the ITU-T Study Group 13's standardization activities for future networks. To contribute to ITU-T's this effort, we first propose a naming system, called Host Name and Identifier System (HNIS). We show how host names and host identifiers (IDs) are generated and mapped to each other. We then present a new network architecture based on the ID/locator split concept and the naming system. The proposed architecture allows the network layer protocols to change locators without requiring the upper layers to change IDs. This capability is helpful for designing efficient solutions to mobility, multihoming, routing and security as well as integrating heterogeneous network layer protocols.
Isobaric Vapor–Liquid Equilibrium for Binary Systems of Toluene + Acrylic Acid, Toluene + Acetic Acid, and Cyclohexane + Acrylic Acid at 20 kPa (2011)

Vapor–liquid equilibrium (VLE) data for toluene + acrylic acid, toluene + acetic acid, and cyclohexane + acrylic acid systems have been determined at 20 kPa (absolute pressure) using a circulating VLE still. The Hayden and O'Connell equation has been used to account for the nonideality of the vapor phase. The experimental data were checked both with the Herington consistency test and point consistency test methods, which showed thermodynamic consistency. Only the toluene and acetic acid system presents an azeotrope at 20 kPa and 332.29 K with the mole fraction of toluene as 0.525. All equilibrium data were correlated with Wilson, nonrandom two-liquid (NRTL), and universal quasichemical (UNIQUAC) activity coefficient models to obtain the binary interaction parameters of these models using Aspen Plus commercial software to introduce them in the simulation model.
Five years experience with the Björk-Shiley tilting disc valve in isolated aortic valvular disease. (1976)

The non-overlapping tilting disc of the Björk-Shiley prosthesis has proved its efficiency in two respects: It provides an optimal orifice to tissue diameter ratio with a favourable rheology both at rest and during exercise even in the smaller valve sizes used for insertion in narrow aortic roots. It accounts for a minimal haemolysis because mechanical crushing of the red cells is minimized by such a non-overlapping closing mechanism. Regurgitation is negligible. The excellent durability of the prosthesis has been clinically testified. Thrombo-embolism has not so far occurred with effective Dicumarol treatment. Aortic valve replacement with the Björk-Shiley tilting disc valve is regarded as an elimination of the volume load of the left ventricle in AI and the pressure load in AS, thereby creating a pre-requisite for a normalization of the pump function of the heart.
Accelerated autoxidation and heme loss due to instability of sickle hemoglobin. (1988)

The pleiotropic effect of the sickle gene suggests that factors in addition to polymerization of the mutant gene product might be involved in sickle disease pathobiology. We have examined rates of heme transfer to hemopexin from hemoglobin in dilute aqueous solution (0.5 mg of Hb per ml) at 37 degrees C. HbO2 S loses heme 1.7 times faster than HbO2 A, with apparent rate constants of 0.024 hr-1 and 0.014 hr-1, respectively. In contrast, Hb A and Hb S behave identically in their MetHb forms (very rapid heme loss) and their HbCO forms (zero heme loss). This indicates that the faster heme loss from HbO2 S is due to accelerated autoxidation (HbO2----MetHb) rather than to some other type of instability inherent in the relationship of sickle heme to its pocket in globin. This interpretation is supported by spectrophotometric measurement of initial rates of MetHb formation during incubation at 37 degrees C. This directly shows 1.7 times faster autoxidation, with apparent rate constants of 0.050 hr-1 for HbO2 S and 0.029 hr-1 for HbO2 A. While the participation of this process in the cellular pathobiology of sickle erythrocytes remains unproven, the present data are consistent with, and perhaps help explain, two prior observations: the excessive spontaneous generation of superoxide by sickle erythrocytes; and the abnormal deposition of heme and heme proteins on membranes of sickle erythrocytes.
Treatment strategies for inherited optic neuropathies: past, present and future (2014)

Bilateral visual loss secondary to inherited optic neuropathies is an important cause of registrable blindness among children and young adults. The two prototypal disorders seen in clinical practice are Leber hereditary optic neuropathy (LHON) and autosomal dominant optic atrophy (DOA). About 90% of LHON cases are due to one of three mitochondrial DNA (mtDNA) point mutations: m.3460G>A, m.11778G>A, and m.14484T>C, which affect critical complex I subunits of the mitochondrial respiratory chain. The majority of patients with DOA harbour pathogenic mutations within OPA1, a nuclear gene that codes for a multifunctional inner mitochondrial membrane protein. Despite their contrasting genetic basis, LHON and DOA share overlapping pathological and clinical features that serve to highlight the striking tissue-specific vulnerability of the retinal ganglion cell (RGC) layer to disturbed mitochondrial function. In addition to severe visual loss secondary to progressive optic nerve degeneration, a subgroup of patients will also develop a more aggressive syndromic phenotype marked by significant neurological deficits. The management of LHON and DOA remains largely supportive, but major advances in our understanding of the mechanisms underpinning RGC loss in these two disorders are paving the way for novel forms of treatment aimed at halting or reversing visual deterioration at different stages of the disease process. In addition to neuroprotective strategies for rescuing RGCs from irreversible cell death, innovative in vitro fertilisation techniques are providing the tantalising prospect of preventing the germline transmission of pathogenic mtDNA mutations, eradicating in so doing the risk of disease in future generations.
Demand Forecasting of Short Life Span Products (2008)

This chapter briefly reviews forecasting features of typical data mining software, and then presents the salient features of SIMForecaster, a forecasting system developed at the Singapore Institute of Manufacturing Technology. SIMForecaster has successfully been used for many important forecasting problems in industry. Demand forecasting of short life span products involves unique issues and challenges that cannot be fully tackled in existing software systems like SIMForecaster. To introduce these problems, we give three case studies for short life span products, and identify the issues and problems for demand forecasting of short life span products. We identify specific soft computing techniques, namely small world theory, memes theory, and neural networks with special structures, such as binary neural networks (BNNs), bidirectional segmented memory (BSM) recurrent neural networks, and longshort- term-memory (LSTM) networks for solving these problems. We suggest that, in addition to these neural network techniques, integrated demand forecasting systems for handling optimization problems involved in short life span products would also need some techniques in evolutionary computing as well as genetic algorithms.