gebhart/patrepeval huggingface dataset:
Experimental Investigation of Security Issues in O-CDMA (2006)

In this paper, two vulnerabilities that allow an eavesdropper to extract data from an isolated user in a two-code-keying spectrally phase-coded optical-code-division-multiple-access (O-CDMA) system are experimentally demonstrated. One of these vulnerabilities stems from spectral dips that result from phase-to-amplitude conversion in the encoding process, which allows eavesdropping by using a narrowband tunable optical filter and a simple energy detector. A modified O-CDMA transmitter scheme that masks this vulnerability is demonstrated. A second, especially serious, vulnerability allows eavesdropping by using a differential-phase-shift-keying receiver. Both of these vulnerabilities arise from a structure in the coding and signaling schemes that allow an eavesdropper to recover data, with relatively simple hardware and without attempting to learn the codes
Improved Parallel Composition of Labelled Petri Nets (2011)

Parallel composition of labelled Petri nets is a fundamental operation in modular design. It is often used to combine models of subsystems into a model of the whole system. Unfortunately, the standard definition of parallel composition almost always yields a 'messy' Petri net, with many implicit places, causing performance deterioration in tools that are based on structural methods. In this paper we propose an optimised algorithm for computing the parallel composition. It often produces nets with fewer implicit places, which are thus better suited for subsequent application of structural methods.
Shorebirds of Australia (2007)

Shorebirds of Australia brings together the latest information about the evolution, ecology and behaviour of shorebirds and how they are distributed in Australia. Complete with colour photographs and up-to-date distribution maps, it provides descriptions and tips to assist with the identification of all species of shorebird in Australia, which comprise about 10 per cent of Australia’s total avifauna. In addition to information about their habitats, the most significant threats to their existence are mentioned, as well as actions in place to help conserve these birds. The book is a valuable reference for a broad range of people, from birdwatchers and field naturalists to professional ornithologists and land managers entrusted with the responsibility of protecting Australia’s natural resources, especially its wetlands and coastal regions. Winner of the 2008 Whitley Award for Field Guide.
Mid-term results of total hip arthroplasty with modified trochanteric osteotomy in Crowe type IV developmental dysplasia of the hip (2020)

<title>Abstract</title> <bold>Introduction: </bold>The objective of this study was to explore mid-term clinical results of cementless total hip arthroplasty (THA) with modified trochanteric osteotomy in Crowe type IV developmental dysplasia of the hip (DDH).<bold>Patients and method: </bold>Thirteen patients (13 hips) with Crowe type IV DDH who underwent THA used modified trochanteric osteotomy between May 2013 and October 2019 were retrospectively analyzed. Mean follow-up was 5.2 ± 0.8 years (range, 4.9-6.1 years).<bold>Results</bold>: Mean Harris Hip Score (HHS) significantly (<italic>p</italic> &lt; 0.05) improved from 30.7 ± 5.8 (range, 22-38) to 87.5 ± 3.6 (range, 83-93). The mean leg length discrepancy (LLD) was 53.4 ± 9.1 mm (range, 42.1-68.5 mm) preoperatively. The final LLD was 5.6 ± 2.4 mm (range, 2.4-9.1 mm). The mean leg length after surgery was 47.4 ± 10 mm (range, 33.6-67.2 mm). The average duration of bone union for greater trochanter (GT) was 2.5 ± 0.6 months (range, 1.5-3.6 months). There was no infection, GT non-union, or loosening (septic or aseptic) of the stem or cup in any case.<bold>Conclusions: </bold>THA with modified trochanteric osteotomy with cementless cup is an effective treatment for Crowe type IV developmental dysplasia of the hip. It can rebuild complex biomechanics and biology of hip dysplasia without increasing complications.
Antibodies from Lampreys as Smart Anti-Glycan Reagents (SAGRs): Perspectives on Their Specificity, Structure, and Glyco-genomics (2020)

The repertoire of glycans expressed by individual cells and tissues is enormous, and various estimates indicate that thousands of different glycans and "glycan determinants" are critical for functional recognition by glycan-binding proteins. Defining the steady-state expression and functional impacts of the human glycome will require a concerted worldwide effort, along with the development of new immunological, genetic, chemical, and biochemical technologies. Here, we describe the generation of smart anti-glycan reagents (SAGRs), recombinant antibodies that recognize novel glycan determinants. The antibodies are generated by the sea lamprey (<i>Petromyzon marinus</i>), through immunization with glycoconjugates, cells, and even tissues. SAGRs represent a versatile immunological tool for defining the expression of glycans in cells and tissues. We also present a comparison of lamprey-derived anti-carbohydrate antibodies that have been characterized to date. Finally, we explore the unique glyco-genome of the lamprey itself as it compares to those of humans and mice and how it may relate to the lamprey's inherent capacity to produce antibodies to mammalian glycans.
Infrared reflection spectroscopy analysis of SIMOX material obtained by multiple implant (2002)

An analysis was carried out of SOI/SIMOX structures obtained by sequential implantation and annealing (SIA). The analysis of these structures has been made in relation to those obtained by an equivalent standard single implant and anneal (SS structures), by means of infrared reflection spectroscopy. The use of a fast Fourier transform infrared (FTIR) system allows the combination of a low measuring time of the spectra (on the order of several minutes) with a high spectral resolution (up to 0.02 cm/sup -1/). Complementary optical measurements such as photoluminescence and Raman spectroscopy using different excitation powers and wavelengths reveal the higher quality of the surface region of the top silicon layer free of precipitates in the SIA material. These data, together with the FTIR results, show the potential of the SIA technique for obtaining high quality quasi-ideal SOI structures.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Editorial from the New TEAC Co-Editors-in-Chief (2017)

No abstract available.
Environmental and developmental signals modulate proline homeostasis: evidence for a negative transcriptional regulator. (1996)

In many plants, osmotic stress induces a rapid accumulation of proline through de novo synthesis from glutamate. This response is thought to play a pivotal role in osmotic stress tolerance [Kishor, P. B. K., Hong, Z., Miao, G.-H., Hu, C.-A. A. and Verma, D. P. S. (1995) Plant Physiol. 108, 1387-1394]. During recovery from osmotic stress, accumulated proline is rapidly oxidized to glutamate and the first step of this process is catalyzed by proline oxidase. We have isolated a full-length cDNA from Arabidopsis thaliana, At-POX, which maps to a single locus on chromosome 3 and that encodes a predicted polypeptide of 499 amino acids showing significant similarity with proline oxidase sequences from Drosophila and Saccharomyces cerevisiae (55.5% and 45.1%, respectively). The predicted location of the encoded polypeptide is the inner mitochondrial membrane. RNA gel blot analysis revealed that At-POX mRNA levels declined rapidly upon osmotic stress and this decline preceded proline accumulation. On the other hand, At-POX mRNA levels rapidly increased during recovery. Free proline, exogenously added to plants, was found to be an effective inducer of At-POX expression; indeed, At-POX was highly expressed in flowers and mature seeds where the proline level is higher relative to other organs of Arabidopsis. Our results indicate that stress- and developmentally derived signals interact to determine proline homeostasis in Arabidopsis.
Large-scale lateral nanowire arrays nanogenerators (2023)

In a method of making a generating device, a plurality of spaced apart elongated seen members are deposited onto a surface of a flexible non-conductive substrate. An elongated conductive layer is applied to a top surface and a first side of each seed member, thereby leaving an exposed second side opposite the first side. A plurality of elongated piezoelectric nanostructures is grown laterally from the second side of each seed layer. A second conductive material is deposited onto the substrate adjacent each elongated first conductive layer so as to be soupled the distal end of each of the plurality of elongated piezoelectric nanostructures. The second conductive material is selected so as to form a Schottky barrier between the second conductive material and the distal end of each of the plurality of elongated piezoelectric nanostructures and so as to form an electrical contact with the first conductive layer.
Robust model predictive control with a pair of plant models (2005)

This paper proposes new robust model predictive control with a pair of plant models. Its simple control law based on intuitional control strategy can deal with model uncertainty especially in time-delays appropriately, which causes frequently fatal problems in process industry.
Targeted nanotherapy with everolimus reduces inflammation and fibrosis in scleroderma‐related interstitial lung disease developed by PSGL‐1 deficient mice (2022)

In PSGL-1 KO mice, targeted nanotherapy with LipHA+Ev was an effective treatment for SSc-ILD, reducing the number of inflammatory and fibrotic cells in BAL and reducing inflammation and fibrosis in lungs.
P4–291: Predicting <i>in vivo</i> BACE inhibitor efficacy: Are human iPS‐derived neurons superior? (2013)

BACE is the first enzyme involved in the sequential cleavage of APP leading to b -amyloid (A b) generation. The presence of A b in critical brain regions is considered to be a causative factor in the cognitive decline and neuronal degeneration associated with Alzheimer's disease (AD). Thus, reducing levels of toxic A b species by inhibiting BACE may be a viable therapeutic strategy for the treatment of AD. Effectively selecting BACE inhibitors for in vivo profiling requires high confidence in the translatability of in vitro potency. Human iPS-derived neurons, which more closely represent human neurons, have been proposed to be a superior cellular model for translating in vitro potency to in vivo (and later clinical) efficacy. BACE inhibitors representing 3 chemical series were chosen for profiling in a soluble enzyme assay, an APP over-expressing human H4 neuroglioma cell line, a rodent primary neuronal culture, and in human iPS-derived neurons. Our human iPS line was derived from adult non-diseased fibroblasts that were reprogrammed into GABAergic neurons. IC50 correlations for A b lowering were built to compare potency across these assays. Additionally, wild-type 129/SVE mice were dosed with several of these BACE inhibitors to establish the in vivo brain IC50 for A b. For all assays, in vitro -to- in vivo correlations (IVIVCs) of in vitro IC50 values and in vivo IC50 values were generated. We report a high correlation in BACE inhibitor potency between all the in vitro assays examined, including the iPS-derived neurons. Additionally, IVIVCs for the various in vitro assays described translate well to in vivo rodent efficacy. Selecting appropriate chemical matter for in vivo profiling is essential for efficient drug discovery. While the non-diseased human iPS-derived neurons that we tested are more representative of human neurons than the other assay models examined, they do not provide any distinct advantage in translating in vitro potency to in vivo efficacy and thus do not appear to represent a superior translatable cellular model for screening. It remains to be seen if iPS-derived neurons from AD patients offer any advantage in screening for Alzheimer's disease therapeutics.
Pattern-dependent bit error characteristics induced by asymmetrically filtering of CS-RZ signal (2003)

The pattern dependency in bit error characteristics of asymmetrically filtered CS-RZ signals has been experimentally and numerically studied. It was found that the bit error intensively occurs just after the end of a long sequence of 1s or 0s for strong asymmetrical filtering.
Machine Learning-based Component Figures of Merit and Models for DC-DC Converter Design (2022)

This paper is focused on a data-driven approach to capturing figures of merit and features of semiconductor switches and passive components used in switched-mode power converters. Extensive amounts of component data available on commercial distributor sites are gathered and processed to provide insights into relationships among component characteristics beyond what is commonly available in physics-based models. The data is used to train supervised regression machine learning (ML) models that can be used to predict component parameters. One practical use of these ML-based models is in an optimization tool that advises power converter designers on component selection to achieve an optimal specified objective function.
On the value of collaboration in anchorless robot self-localization (2012)

In this paper, we consider the value of collaboration in anchorless robot self-localization. Robots which rely solely on data from imperfect inertial measurement units become increasingly less certain of their locations over time. Without anchors or landmarks to help them regain their bearings, these robots reach a point at which they essentially have no idea of their locations. If, however, these robots are given the ability to communicate with one another, they can utilize additional information gained through collaboration to correct their beliefs and collectively improve their location estimates. In this work, we characterize how inter-robot collaboration impacts self-localization performance and discuss whether any additional information, such as an estimator confidence measure, may be gleaned from the resulting corrected beliefs.
Planning Reactive Manipulation in Dynamic Environments (2019)

When robots perform manipulation tasks, they need to determine their own movement, as well as how to make and break contact with objects in their environment. Reasoning about the motions of robots and objects simultaneously leads to a constrained planning problem in a high-dimensional state-space. Additionally, when environments change dynamically motions must be computed in real-time. To this end, we propose a feedback planner for manipulation. We model manipulation as constrained motion and use this model to automatically derive a set of constraint-based controllers. These controllers are used in a switching-control scheme, where the active controller is chosen by a reinforcement learning agent. Our approach is capable of addressing tasks with second-order dynamics, closed kinematic chains, and time-variant environments. We validated our approach in simulation and on a real, dual-arm robot. Extensive simulation of three distinct robots and tasks show a significant increase in robustness compared to a previous approach.
History and Evolution of the Johnson Criteria. (2015)

The Johnson Criteria metric calculates probability of detection of an object imaged by an optical system, and was created in 1958 by John Johnson. As understanding of target detection has improved, detection models have evolved to better model additional factors such as weather, scene content, and object placement. The initial Johnson Criteria, while sufficient for technology and understanding at the time, does not accurately reflect current research into target acquisition and technology. Even though current research shows a dependence on human factors, there appears to be a lack of testing and modeling of human variability.
CERÁMICA EN DISEÑO INDUSTRIAL (2009)

CERAMICA EN DISENO INDUSTRIAL. PRODUCTOS ERGONOMICOS, ESTETICOS Y FUNCIONALES SON DISENADOS Y DESARROLLADOS EN EL LABORATORIO DE CERAMICA.
Abstracts of forthcoming manuscripts (2002)

Provides an abstract of articles to be presented in a forthcoming issue.
The Role of Ghrelin in Reward-Based Eating (2012)

The peptide hormone ghrelin acts in the central nervous system as a potent orexigenic signal. Not only is ghrelin recognized as playing an important role in feeding circuits traditionally thought of as affecting body weight homeostasis, but also an accumulating number of scientific studies have identified ghrelin as being a key regulator of reward-based, hedonic eating behaviors. In the current article, we review ghrelin's orexigenic actions, the evidence linking ghrelin to food reward behavior, potential mechanisms by which ghrelin mediates reward-based eating behavior, and those studies suggesting an obligatory role for ghrelin in the changed eating behaviors induced by stress.
Topological Data Analysis of Decision Boundaries with Application to\n Model Selection (2018)

We propose the labeled \\v{C}ech complex, the plain labeled Vietoris-Rips\ncomplex, and the locally scaled labeled Vietoris-Rips complex to perform\npersistent homology inference of decision boundaries in classification tasks.\nWe provide theoretical conditions and analysis for recovering the homology of a\ndecision boundary from samples. Our main objective is quantification of deep\nneural network complexity to enable matching of datasets to pre-trained models;\nwe report results for experiments using MNIST, FashionMNIST, and CIFAR10.\n
Using Canola Oil Organogels as Fat Replacement in Liver Pâté (2019)

Five canola oil organogel formulations were used to replace pork fat in pâtés to increase unsaturated fat content, and to determine their effects on texture and sensory properties. While pâtés made with canola oil were softer than the control pork fat product at room temperature, pâtés made with gelled canola oil (organogel pâtés) had similar hardness values to the control. Back extrusion results (also a measure of spreadability) showed that pâté made with canola oil only was softer than the control at 4 °C, but the pâtés made with organogels were similar to the control. Organogel pâtés were perceived to have similar sensory hardness, oiliness, and juiciness as the control. Pâtés made with organogels showed higher oil loss, over time, compared to control; however, pâtés made with organogels containing glycerol monostearate showed lower oil loss after 24 hr (P < 0.05) compared to the other organogel treatments. Light microscopy showed that fat globule size was notably larger in pâtés made with organogels than in the pork fat and the canola oil control pâtés. The color of organogel pâtés was darker compared to pâtés made with pork fat or canola oil only. Sensory data showed that all fat replaced pâtés had very similar flavor profiles. Overall, organogel pâtés showed comparable textural, physical, and sensory properties to the traditional pâté made with pork fat, while reducing the saturated fat content by 60%. PRACTICAL APPLICATION: Use of vegetable oil in highly emulsified liver pâté has been shown to be possible via the use of organogels prepared with ethylcellulose. This has been a challenge because some of the meat proteins are heat denatured prior to the emulsification process. Overall, the use of organogels, with specific hardness and oil retention values, is possible as demonstrated in this publication.
The Low-Energy State of an Electron Beam in a Coaxial Diode with a Homogeneous Anode and Inhomogeneous Magnetic Field Profile (2018)

The possible formation of an extended low-energy state of electron beam in a coaxial diode with homogeneous cylindrical anode and moderate magnetic field with inhomogeneous profile is demonstrated for the first time. It is established that, depending on the magnetic field configuration, virtual cathodes (VCs) of two types can be formed: (i) a stationary VC with a localized reflection plane and (ii) a moving VC with a two-stream low-energy state of the electron beam.
Liquid-Based Battery Temperature Control of Electric Buses (2020)

Previous research identified that battery temperature control is critical to the safety, lifetime, and performance of electric vehicles. In this paper, the liquid-based battery temperature control of electric buses is investigated subject to heat transfer behavior and control strategy. Therefore, a new transient calculation method is proposed to simulate the thermal behavior of a coolant-cooled battery system. The method is based on the system identification technique and combines the advantage of low computational effort and high accuracy. In detail, four transfer functions are extracted by a thermo-hydraulic 3D simulation model comprising 12 prismatic lithium nickel manganese cobalt oxide (NMC) cells, housing, arrestors, and a cooling plate. The transfer functions describe the relationship between heat generation, cell temperature, and coolant temperature. A vehicle model calculates the power consumption of an electric bus and thus provides the input for the transient calculation. Furthermore, a cell temperature control strategy is developed with respect to the constraints of a refrigerant-based battery cooling unit. The data obtained from the simulation demonstrate the high thermal inertia of the system and suggest sufficient control of the battery temperature using a quasi-stationary cooling strategy. Thereby, the study reveals a crucial design input for battery cooling systems in terms of heat transfer behavior and control strategy.
Railway disruption: a bi-level rescheduling algorithm (2019)

The real-time rescheduling of railway traffic in case of unexpected events is a challenging task. This is mainly due to the complexity of the railway service, which has to ensure safety, punctuality, and efficiency to customers by respecting timetable, framework, and resources constraints. Most of the available researches focus on short delays (i.e., disturbances). Approaches typically rely on simplified macroscopic models for large-scale systems or detailed microscopic models for one or a few lines, due to the long computation time required for solving the rescheduling problem. Only a small number of works consider rescheduling in case of long delays (i.e., disruptions) and all of them are also based on either a macroscopic or a microscopic model. This research focuses on disruptions and aims at filling the gap between macroscopic and microscopic modelling by proposing an innovative bi-level rescheduling algorithm based on a mesoscopic Mixed Integer Linear Programming (MILP) model. The technique allows obtaining a feasible rescheduled timetable in a short computation time respecting not only timetable and safety constraints (typical of macroscopic models) but also capacity and ordering constraints for the disrupted stations (typical of microscopic models). The bi-level algorithm first solves the macroscopic MILP rescheduling problem and then, considering the cancellation and non-admissible platform assignments results, it solves a mesoscopic MILP rescheduling problem. This allows to significantly reduce the search space and consequently the computation time. The method is tested for the rescheduling of the Dutch railway traffic in case of a full blockade between two consecutive stations.
Stereochemical Aspects Op Addition Reactions Involving Lignin Model Quinone Methides (1983)

Abstract Primary amines, similarly to anthrahydroquinone and anthranol, added to the quinone methide from a lignin model, guaiacyl-glycerol-β-guaiacyl ether, give predominantly the threo-adduct. The configurations were assigned from proton and C-13 NMR spectra of cyclic tetrahydro-1,3-oxazine derivatives, and were compared with configurations of 1,3-dioxanes determined similarly. The predominance of erythro-stereochemistry from reactions of organic acids with this quinone methide is explained by solvation effects.