gebhart/patrepeval huggingface dataset:
Probabilistic Model for Interaction Aware Planning in Merge Scenarios (2017)

Merge scenarios confront drivers with some of the most complicated driving maneuvers in every day driving, requiring anticipatory reasoning of positions of other vehicles, and the own vehicles future trajectory. In congested traffic it might be impossible to merge without cooperation of up-stream vehicles, therefore, it is essential to gauge the effect of our own trajectory when planning a merge maneuver. For an autonomous vehicle to perform a merge maneuver in congested traffic similar capabilities are required. This includes a model describing the future evolution of the scene that allows for optimizing the autonomous vehicle's planned trajectory with respect to risk, comfort, and dynamical limitations. We present a probabilistic model that explicitly models interaction between vehicles and allows for evaluating the utility of a large number of candidate trajectories of an autonomous vehicle using a receding horizon approach in order to select an appropriate merge maneuver. The model is an extension of the intelligent driver model and the modeled behavior of other vehicles are adjusted using on-line model parameter estimation in order to give better predictions. The prediction model is evaluated using naturalistic traffic data and the merge maneuver planner is evaluated in simulation.
Extracellular Matrix, Integrins, and Mesenchymal Cell Function in the Airways (2006)

Subepithelial fibrosis is one of the characteristic features of asthmatic airways. The fibrotic response includes an increase in volume occupied by extracellular matrix (ECM) tissue, and a change in the ECM composition favouring wound type collagens, fibronectin and a number of glycoproteins and proteoglycans normally associated with development. The altered ECM is likely to be deposited by the mesenchymal cells (including (myo) fibroblasts and smooth muscle) that are increased in number in asthmatic airways. In turn, the altered asthmatic ECM is likely to influence the function of the resident airway cells, and may be directly responsible for increasing proliferation, migration, ECM synthesis, inflammatory mediator release, and survival of resident mesenchymal cells. Therefore, the deposited ECM may perpetuate the disease phenotype. The different components of the ECM bi-directionally communicate with cells through a family of transmembrane receptors called integrins. Current research has begun to characterize: 1) the particular ECM components altered in airways disease; 2) the breadth of activity of different ECM components on airway cell function; and 3) the particular integrins responsible for mediating these effects. Further understanding of the role of integrins in transmitting responses of ECM in healthy or diseased airways may lead to novel targets for anti-asthma therapy.
Synthesis of Non-Symmetrically Benzo-Substituted Phthalocyanines and Their Electronic Spectra (1992)

Abstract A series of benzo-substituted phthalocyanine-Zn complexes was isolated from a mixed product of two nitriles(o-phthalonitrile and 2,3-dicyanonaphthalene) and metal salt by chromatographic techniques. The UV-Visible absorption spectra of these compounds showed a schematic variation with the mode of substitution. The “D2h” type complex showed strong anisotropy.
Vector coding with decision feedback equalization for partial response channels (2003)

The authors develop a block decision-feedback equalizer (BDFE) for partial response channels. The BDFE removes interference between successive blocks of channel inputs. Vector coding with the BDFE decreases the block length required for large coding gains on the partial response channels considered. For systems operating at low bit rates, vector coding with the BDFE achieves coding gains greater than 3 dB (over the uncoded flat channel performance) on partial response channels of the form (1-D)(1+D)/sup m/ with a 16-state, four-dimensional coset code. These gains are achieved with block lengths as low as 10. The authors also develop a block precoder which achieves the same coding gains as the BDFE but avoids any potential error propagation problems that decision-feedback equalization may cause.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
A Bayesian Pairwise Classifier for Character Recognition (2001)

Abstract : In this chapter, we develop a Bayesian Pairwise Classifier framework that is suitable for pattern recognition problems involving a moderately large number of classes, and apply it to two character recognition datasets. A C class pattern recognition problem (e.g.; C = 26 for recognition of English Alphabet) is divided into a set of (2C) two-class problems. For each pair of classes, a Bayesian classifier based on a mixture of Gaussians (MOG) is used to model the probability density functions conditioned on a single feature. A forward feature selection algorithm is then used to grow the feature space, and an efficient technique is developed to obtain a MOG in the larger feature space from the MOG's in the smaller spaces. Apart from improvements in classification accuracy, the proposed architecture also provides valuable domain knowledge such as identifying what features are most important in separating a pair of characters, relative distance between any two characters, etc.
Multiconstraint Wiener-based motion compensation using wavelet pyramids (1994)

We have investigated an original motion estimation method that exploits several frequency subbands of wavelet pyramids using a multigrid-multiconstraint strategy. A recursive and iterative solution based on the Wiener approach allows to take into account the reconstruction quality criterion that is crucial to image coding. Experiments show its performances in terms of compression ratio, reconstruction quality, and reduction of implementation complexity compared to a monoresolution case.
How we think: digital media and contemporary technogenesis (2013)

do we think? N. Katherine Hayles poses this question at the beginning of this bracing exploration of the idea that we think through, with, and alongside media. As the age of print passes and new technologies appear every day, this proposition has become far more complicated, particularly for the traditionally print-based disciplines in the humanities and qualitative social sciences. With a rift growing between digital scholarship and its print-based counterpart, Hayles argues for contemporary technogenesis-the belief that humans and technics are coevolving-and advocates for what she calls comparative media studies, a new approach to locating digital work within print traditions and vice versa. mines the evolution of the field from the traditional humanities and how the digital humanities are changing academic scholarship, research, teaching, and publication. She goes on to depict the neurological consequences of working in digital media, where skimming and scanning, or hyper reading, and analysis through machine algorithms are forms of reading as valid as close reading once was. Hayles contends that we must recognize all three types of reading and understand the limitations and possibilities of each. In addition to illustrating what a comparative media perspective entails, Hayles explores the technogenesis spiral in its full complexity. She considers the effects of early databases such as telegraph code books and confronts our changing perceptions of time and space in the digital age, illustrating this through three innovative digital productions - Steve Tomasula's electronic novel, TOC; Steven Hall's The Raw Shark Texts; and Mark Z. Danielewski's Only Revolutions. Deepening our understanding of the extraordinary transformative powers digital technologies have placed in the hands of humanists, How We Think presents a cogent rationale for tackling the challenges facing the humanities today.
Effects of chronic sympatho-inhibition on renal excretory function in renovascular hypertension (2011)

These observations show that chronic treatment of rabbits with renal artery stenosis with a centrally acting sympathoinhibitory agent, despite normalizing MAP, does not compromise renal excretory function. Thus, this treatment modality may be particularly useful in renovascular hypertension.
Apuntes sobre la regulación jurídica de la protección de la víctima militar por violencia de género en el ámbito de las Fuerzas Armadas. (2011)

Notes about legal regulation of the protection
of victims of common assault in the field
of the Armed Forces
This article analyse the administrative law that allows full
protection for the victims of common assault. This
legislation, in general, is the result of the common law of the State
General Administration of the special military function. On the other
hand, it highlights the significant problem from a professional and
disciplinary perspective that supposes to be a trial or
conviction for the crime of common assault, and the particular
impact of, interim or final, about tenure, carrying of weapons and
restrain has found in the field. This becomes a particular
problem, taking into account the increasing number of women in the
Armed Forces.
Metallic Copper Binders for Lithium-Ion Battery Silicon Electrodes (2012)

High capacity anode materials for lithium-ion batteries typically experience large crystallographic volume expansions due to formation of either alloy or Zintl LixM phases. This phenomena has been observed for several main group metals, including tin, silicon, and germanium, that are being considered for next generation anode materials. Solutions proposed include new morphologies, precursor phases, and organic binders but none have displaced previous binders because of higher costs or they introduce inactive or poorly conducting phases that hurt performance. In this report we have studied an alternative method of binding electrochemically active silicon to the current collector based on a method that utilizes copper as a replacement for both the binder and conductive additive in a standard electrode. For this system we have optimized conditions to maximize the adhesion of the silicon to the copper foil current collector while minimizing formation of binary intermetallic compounds. For compositions around Cu: 4 Si (64 wt% Si), the electrochemical cycle life is comparable to electrodes made using a PVDF polymer binder but with one-third the overall electrode resistance.
WellPlanET — Smart & Efficient Drilling Well Program by Saudi Aramco (2013)

Abstract Drilling and Workover activities generate a lot of information that can be further used to improve the optimization of future activities and reduce: costs, drilling time and the time drilling engineers require to prepare a drilling program. To address this concern, Saudi Aramco developed the Well Planning Engineering Integrated Tools (WellPlanET). The well planning process is the most critical activity during drilling and completion. It starts by capturing the requirements from Exploration & Reservoir Engineering, and ends with a drilling program outlining the drilling execution plan. Supplements and revisions of the original plan may occur during the execution. This planning process involves consideration of many data types, including: formation pressures, offset well data, reservoir location, time, cost, etc. Overlooking any single data aspect could lead to severe drilling problems and time losses, especially for an Oil & Gas Operator like Saudi Aramco, where the Drilling & Workover agenda includes a large number of wells, of different types, and the operational involvement of many stakeholders. For that reason, Saudi Aramco has recently commissioned a new Well Planning Engineering Integrated Tools (WellPlanET) environment as a one box solution for drilling engineers to facilitate, plan, manage and streamline the well design in a simple, yet smart way. This involves a new re-engineering D&WO Planning Systems environment and workflows from desktop- based to a more integrated web-based environment that employs Aramco data repositories (structured, unstructured, file systems, etc.), application portfolio (in-house, vendor, real-time, historical, Drilling, Exploration, PE, etc.) and workflows to deliver users requirements and address the Drilling & Workover strategic goals and plans. It also provides a systematic way of generating, validating, simulating and optimizing the Drilling Program during both pre-drilling, execution and post-drilling phases. WellPlanET is a comprehensive integrated knowledgebase that ultimately facilitates well planning engineering, and advanced well design optimization. The system automates capturing all Drilling Program planning data (over 14 different data types such as Trajectory, Mud designs, Wellhead designs, etc.) in a structured manner to establish a complete integrated well planning repository to enable many advanced engineering modules such as Prediction, Simulation and Artificial Intelligence analysis features, using historical and planning data with full integration with key industry standards systems such as Geo- Pressure & Geomechanics analysis tools, Drilling Fluids and Well Hydraulics optimization tools, BHA/Wellhead/CrossSection designing tools to optimize the overall drilling program. This paper shares Saudi Aramco’s experience in building and deploying WellPlanET as a smart and efficient way of generating the drilling well program.
BRCA1- and BRCA2-Deficient Cells Are Sensitive to Etoposide-Induced DNA Double-Strand Breaks via Topoisomerase II (2007)

The function of BRCA1 and BRCA2 in DNA repair could affect the sensitivity of cells to cytotoxic agents, and would therefore be an important component of planning therapy for breast and ovarian cancers. Previously, both BRCA1- and BRCA2-deficient tumors were shown to be sensitive to mitomycin C, and the mechanism was presumed to be a defect in the repair of interstrand crosslinks by homologous recombination. Here, we show that both BRCA1 and BRCA2 determine the sensitivity to the cytotoxic drug, etoposide, using genetic complementation of BRCA-deficient cells. Etoposide is known to bind to topoisomerase II and prevent the resolution of the "cleavable complex," in which one DNA duplex is passed through a second duplex. The specificity of this BRCA-dependent sensitivity was confirmed by the use of aclarubicin, which is a catalytic inhibitor of topoisomerase II and prevents the formation of the cleavable complex. In the presence of aclarubicin, the differential sensitivity of BRCA-proficient and BRCA-deficient cells was lost. Thus, etoposide requires the presence of topoisomerase II to show specific sensitization in the absence of the function of BRCA1 or BRCA2. We conclude that homologous recombination is used in the repair of DNA damage caused by topoisomerase II poisons. Overall, these results suggest that etoposide is a potentially useful drug in the treatment of BRCA-deficient human cancers.
Dynamic Masking for Improved Stability in Spoken Language Translation (2020)

For spoken language translation (SLT) in live scenarios such as conferences, lectures and meetings, it is desirable to show the translation to the user as quickly as possible, avoiding an annoying lag between speaker and translated captions. In other words, we would like low-latency, online SLT. If we assume a pipeline of automatic speech recognition (ASR) and machine translation (MT) then a viable approach to online SLT is to pair an online ASR system, with a a retranslation strategy, where the MT system re-translates every update received from ASR. However this can result in annoying "flicker" as the MT system updates its translation. A possible solution is to add a fixed delay, or "mask" to the the output of the MT system, but a fixed global mask introduces undesirable latency to the output. We show how this mask can be set dynamically, improving the latency-flicker trade-off without sacrificing translation quality.
Experiments of Initiation of Covered, but Unconfined High Explosive Charges by means of shaped charge jets (1987)

Abstract Experiments on the initiation of high explosive charges in contact with a barrier or separated from it by a 15 mm air gap or a 2 mm acrylic glass layer have been performed utilising a simultaneous framing and streak camera. With increasing barrier thickness the shaped charge jet is increasingly consumed.
Pt Catalyst Supported on Zeolite for Selective Oxidation of CO in Reformed Gases (1995)

Abstract A new catalyst for the oxidative elimination of CO from the mixed gas with large excess H2, in application to polymer electrolyte fuel cells, was developed. The catalyst consists of Pt nanocrystallites highly dispersed on A-zeolite. The catalyst is shown to exhibit a very high selectivity, for example, 10 times larger than Pt supported on alumina, under similar conversion levels. The possibility of achieving CO rejection to very small amounts is demonstrated with the proposed catalyst.
Requirements and Use Cases System for Virtualized Network Functions Platforms (2014)

Network Functions Virtualization (NFV) is an emerging technology approach, which refers to the migration of certain network functionalities, traditionally performed by hardware elements, to virtualized IT infrastructures, where they are deployed as software components. NFV leverages commodity servers and storage, including cloud platforms, to enable rapid deployment, reconfiguration and elastic scaling of network functionalities. This introduces a new framework, enabling providers not only to deploy Virtualized Network Functions (VNFs) for their own needs, but also to offer them as value added services to their customers. Virtual network appliances can be provided on-demand asa- Service, eliminating the need to acquire, install and maintain specialized hardware like gateways, proxies, firewalls, transcoders and analyzers at customers’ premises. The main goals of paper are the definition of basic use cases and the identification of the key system requirements for the design and deployment of ‘Network Functions as-a-Service (NFaaS) over virtualized infrastructures’.
New type of two-axis magnetometer (1995)

A new simple two-axis magnetometer has been developed, based on the superposition of an amorphous ferromagnetic disc over a disc-shaped piezoelectric support. At low frequencies, this device exhibits a sensitivity of ~1.7 µV/µT when the external magnetic field is orthogonal to one of the pick-up coils.
Differential effect of ATP concentration on synthesis of vesicular stomatitis virus leader RNAs and mRNAs (1987)

Cleavage of the beta-gamma bond of ATP is required for wild-type (wt) vesicular stomatitis virus transcription in vitro. Recent findings have established that a domain-specific phosphorylation of the virus NS protein is necessary for activity. We report here that RNA synthesis catalyzed by purified standard wt virions responded cooperatively to various ATP concentrations, with half-maximal activity at approximately 500 microM. In contrast, mutant polR1 standard virions and wt defective interfering particles both showed conventional Michaelis-Menten kinetic profiles with Km values of approximately 143 and approximately 133 microM, respectively. The former synthesize readthrough products of the leader-N gene junction in addition to plus-strand leader RNA and mRNAs, whereas the latter synthesize only minus-strand leader RNA. The cooperative response of wt virus products, however, was specific to mRNAs; the small fraction of the total products corresponding to plus-strand leader approximated Michaelis-Menten behavior. Since the unique phenotype of the polR mutants correlates with the synthesis of replicationlike products in vitro, the affected ATP-requiring function most likely regulates both transcription and replication. We suggest that this mutated function involves phosphorylation of viral proteins.
A Study of Multidimensional Multicolor Images (1982)

This paper describes a machine vision system for automatic characterization of sections of biopsied tissue. Color images are first segmented by using an original color segmentation procedure. A structural analysis is then performed over the segmented images to extract the same features that a pathologist would use to make a diagnosis. Alternatively, monochromatic images can be analyzed by using cellular logic techniques. These two methods were used to implement a machine vision system capable of recognizing normal liver biopsies and liver biopsies showing alcoholic hepatitis and acute viral hepatitis. The color segmentation procedure leads to 100 percent classification success in distinguishing between the normal and acute viral hepatitis classes. By using cellular logic techniques, no overlap was found between the normal, acute viral hepatitis, and alcoholic hepatitis classes at the 90 percent confidence interval.
Highly Sensitive and Quick Detection of Acute Myocardial Infarction Biomarkers Using In<sub>2</sub>O<sub>3</sub> Nanoribbon Biosensors Fabricated Using Shadow Masks (2016)

We demonstrate a scalable and facile lithography-free method for fabricating highly uniform and sensitive In<sub>2</sub>O<sub>3</sub> nanoribbon biosensor arrays. Fabrication with shadow masks as the patterning method instead of conventional lithography provides low-cost, time-efficient, and high-throughput In<sub>2</sub>O<sub>3</sub> nanoribbon biosensors without photoresist contamination. Combined with electronic enzyme-linked immunosorbent assay for signal amplification, the In<sub>2</sub>O<sub>3</sub> nanoribbon biosensor arrays are optimized for early, quick, and quantitative detection of cardiac biomarkers in diagnosis of acute myocardial infarction (AMI). Cardiac troponin I (cTnI), creatine kinase MB (CK-MB), and B-type natriuretic peptide (BNP) are commonly associated with heart attack and heart failure and have been selected as the target biomarkers here. Our approach can detect label-free biomarkers for concentrations down to 1 pg/mL (cTnI), 0.1 ng/mL (CK-MB), and 10 pg/mL (BNP), all of which are much lower than clinically relevant cutoff concentrations. The sample collection to result time is only 45 min, and we have further demonstrated the reusability of the sensors. With the demonstrated sensitivity, quick turnaround time, and reusability, the In<sub>2</sub>O<sub>3</sub> nanoribbon biosensors have shown great potential toward clinical tests for early and quick diagnosis of AMI.
Sensorless Flow and Head Estimation in the VentrAssist Rotary Blood Pump (2000)

Flow rate and pressure difference (or head) are key variables needed in the control of implantable rotary blood pumps. However, use of flow and/or pressure probes can decrease reliability and increase system power consumption and expense. For a given fluid viscosity, the flow state is determined by any 2 of the 4 pump variables: Flow, pressure difference, speed, and motor input power can be used. Thus, if viscosity is known or if its influence is sufficiently small, flow rate and pressure difference can be estimated from the motor speed and motor input power. For the VentrAssist centrifugal blood pump, which uses a hydrodynamic bearing, sensorless flow and pressure head estimation accuracy of 2 of our impeller designs were compared for a viscosity range of 1.2 to 4.5 mPas. This showed impeller design optimization can improve estimation accuracy. We also compared estimation accuracy using 2 blood analogues used in vitro, aqueous glycerol and red blood cells suspended in Haemaccel. The nature of the blood analogue and not only the viscosity of the fluid seems to influence estimation accuracy in our pump.