gebhart/patrepeval huggingface dataset:
A Transmitter Design for the Multi-beam CC-OFDM Azimuth Scanning MIMO Radar (2022)

A conventional phased array radar provides a high gain by transmitting coherent signals over a large number of antenna elements. However, it does not provide a full time-on-target because it produces beams that scan the whole angular view of the radar. This paper describes an implementation of circulating codes (CC) in azimuth scanning MIMO radar that adopts OFDM waveform. The CC MIMO technique can produce a beam toward a certain angle by applying an appropriate delay difference between the MIMO antennas that transmit the same waveform across the azimuth. The adoption of OFDM waveform in the CC MIMO radar, gives the possibility to apply the phase difference for beamforming in the frequency domain of the OFDM signals. CC-OFDM MIMO with spectrum division into sub-bands and use of orthogonal codes, allow for simultaneous transmission of orthogonal OFDM symbols that generate orthogonal beams toward different angles. This strategy makes it possible for the radar system to have multiple and simultaneous beamforming to provide a full-time coverage. Furthermore, the transmission of a series of orthogonal OFDM symbols in each beam enables the detection of long-range targets. By taking as an example the design of long-range surveillance radar, the paper discusses further issues pertinent to the implementation of the CC OFDM MIMO radar, including the beam squinting problem and its remedy, arrangement of the multiple beams, the radar system structure, use of Golay codes for orthogonalization and PAPR mitigation, use of software-defined radar that eliminates the need of amplitude and phase control in each transmitter, transmit scheduling for multi-beam long-range target detection, and multidimensional ambiguity function analysis. The latter indicates that the CC OFDM MIMO radar can achieve a high resolution in angle, range, and velocity, with beam isolation of -30 dB for neighboring beams and co-channel beams.
Design of OpenCL-compatible multithreaded hardware accelerators with dynamic support for embedded FPGAs (2015)

ARTICo <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> is an architecture that permits to dynamically set an arbitrary number of reconfigurable hardware accelerators, each containing a given number of threads fixed at design time according to High Level Synthesis constraints. However, the replication of these modules can be decided at runtime to accelerate kernels by increasing the overall number of threads, add modular redundancy to increase fault tolerance, or any combination of the previous. An execution scheduler is used at kernel invocation to deliver the appropriate data transfers, optimizing memory transactions, and sequencing or parallelizing execution according to the configuration specified by the resource manager of the architecture. The model of computation is compatible with the OpenCL kernel execution model, and memory transfers and architecture are arranged to match the same optimization criteria as for kernel execution in GPU architectures but, differently to other approaches, with dynamic hardware execution support. In this paper, a novel design methodology for multithreaded hardware accelerators is presented. The proposed framework provides OpenCL compatibility by implementing a memory model based on shared memory between host and compute device, which removes the overhead imposed by data transferences at global memory level, and local memories inside each accelerator, i.e. compute unit, which are connected to global memory through optimized DMA links. These local memories provide unified access, i.e. a continuous memory map, from the host side, but are divided in a configurable number of independent banks (to increase available ports) from the processing elements side to fully exploit data-level parallelism. Experimental results show OpenCL model compliance using multithreaded hardware accelerators and enhanced dynamic adaptation capabilities.
Vertical LTCC Integrated Rectangular Waveguide and Transitions for Millimeter-Wave Applications (2019)

A new vertical guiding structure in low-temperature cofired ceramics (LTCC) substrates is proposed. This vertical LTCC integrated waveguide (V-LIW) allows transmitting signals and realizing components in the body of the LTCC substrate perpendicular to its surface. This vertical integration leads to considerable footprint reduction while opening the door to higher frequency coverage as well as easy implementation of E-plane structures. Discontinuities in V-LIW and transitions between the proposed V-LIW and conventional horizontal guiding structures such as coplanar waveguides, standard rectangular waveguides, and substrate integrated waveguides are also introduced. Applications to the design of V-band and W-band filters, couplers, and power dividers are presented. Several prototypes are fabricated with measurement results showing a good agreement with simulation data.
Effects of red‐headed pine sawfly,Neodiprion lecontei,nuclear polyhedrosis virus on rainbow trout,Salmo gairdneri,andDaphnia pulex (1981)

Abstract The effects of a nuclear polyhedrosis virus (NPV) of the red‐headed pine sawfly, Neodiprion lecontei, on rainbow trout, Salmo gairdnevi, were investigated. The fish were exposed to this virus by intubation and topical application and no ill‐effects were observed. Similarly, no ill‐effects were detected in Daphnia pulex when the same NPV was added to their culture medium. The materials were lyophilized, NPV‐infected sawfly larvae (normally used for insect control), lyophilized, unin‐fected larvae and purified, polyhedral inclusion bodies. On the basis of these laboratory tests, this virus, when disseminated as a biocontrol agent, should present no hazard to rainbow trout or to the aquatic invertebrate Daphnia pulex, two species frequently used in toxicity tests of chemical pesticides.
A Unique Dual-Readout High-Throughput Screening Assay To Identify Antifungal Compounds with Aspergillus fumigatus (2021)

Treatment of invasive mold infections is limited by the lack of adequate drug options that are effective against these fatal infections. High-throughput screening of molds using traditional antifungal assays of growth is problematic and has greatly limited our ability to identify new mold-active agents. Here, we present a high-throughput screening platform for use with Aspergillus fumigatus, the most common causative agent of invasive mold infections, for the discovery of novel mold-active antifungals. This assay detects cell lysis through the release of the cytosolic enzyme adenylate kinase and, thus, is not dependent on changes in biomass or metabolism to detect antifungal activity. The ability to specifically detect cell lysis is a unique aspect of this assay that allows identification of molecules that disrupt fungal cell integrity, such as cell wall-active molecules. We also found that germinating A. fumigatus conidia release low levels of adenylate kinase and that a reduction in this background allowed us to identify molecules that inhibit conidial germination, expanding the potential for discovery of novel antifungal compounds. Here, we describe the validation of this assay and proof-of-concept pilot screens that identified a novel antifungal compound, PIK-75, that disrupts cell wall integrity. This screening assay provides a novel platform for high-throughput screens with A. fumigatus for the identification of anti-mold drugs. <b>IMPORTANCE</b> Fungal infections caused by molds have the highest mortality rates of human fungal infections. These devastating infections are hard to treat and available antifungal drugs are often not effective. Therefore, the identification of new antifungal drugs with mold activity is critical. Drug screening with molds is challenging and there are limited assays available to identify new antifungal compounds directly with these organisms. Here, we present an assay suitable for use for high-throughput screening with a common mold pathogen. This assay has exciting future potential for the identification of new drugs to treat these fatal infections.
The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks (1970)

"This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning"--
Epidemiology, disease Progression, and Economic Burden of Colorectal Cancer (2007)

Clinicians must consider all available treatment options and regimen sequences across multiple lines of therapy, creating an early plan for each patient to extend survival while minimizing side effects.
Tieline controls in microgrid applications (2007)

This paper reviews the overall architecture of the Microgrid concept, and presents details associated with the tieline control features. Laboratory results from exercising the tieline controls in a hardware-in-the-loop environment are also presented. The controls are implemented with Matlab/Simulink software running on a PC, using data provided from a digital relay through the IEC 61850 GOOSE/OPC data transfer mechanism.
Appendix A: Narrowband Representation of Echoes From Moving Targets (2004)

This paper discusses the conventional Doppler approximation for a narrowband representation of echoes from moving target. Inspec keywords: radar signal processing; radar cross-sections; signal representation Other keywords: narrowband representation; conventional Doppler approximation; radar signal Subjects: Signal processing and detection; Radar equipment, systems and applications
Ion acoustic waves in plasmas with collisional electrons (1994)

We have developed an analytical theory of ion acoustic wave (IAW) damping and electron heat conductivity in plasmas with an arbitrary electron collisionality. We have found that deviations from the collisionless electron Landau damping occur for the wave numbers k${\ensuremath{\lambda}}_{\mathit{e}\mathit{i}}$\ensuremath{\sim}${\mathit{Z}}^{2/3}$, where ${\ensuremath{\lambda}}_{\mathit{e}\mathit{i}}$ is the electron mean free path for collisions with ions. In the regime of intermediate collisionality the IAW damping is proportional to ${\mathit{k}}^{4/7}$ and the nonlocal electron heat conductivity is proportional to ${\mathit{k}}^{\mathrm{\ensuremath{-}}4/7}$. The transition into the hydrodynamic regime occurs for k${\ensuremath{\lambda}}_{\mathit{e}\mathit{i}}$\ensuremath{\sim}0.1${\mathit{Z}}^{1/2}$.
Groupwise Constrained Reconstruction for Subspace Clustering (2012)

Reconstruction based subspace clustering methods compute a self reconstruction matrix over the samples and use it for spectral clustering to obtain the final clustering result. Their success largely relies on the assumption that the underlying subspaces are independent, which, however, does not always hold in the applications with increasing number of subspaces. In this paper, we propose a novel reconstruction based subspace clustering model without making the subspace independence assumption. In our model, certain properties of the reconstruction matrix are explicitly characterized using the latent cluster indicators, and the affinity matrix used for spectral clustering can be directly built from the posterior of the latent cluster indicators instead of the reconstruction matrix. Experimental results on both synthetic and real-world datasets show that the proposed model can outperform the state-of-the-art methods.
Clinicopathological Characteristics, Surgery and Survival Outcomes of Patients with Duodenal Gastrointestinal Stromal Tumors (2016)

Duodenal GISTs had different characteristic genetic mutations compared to other GISTs. LR for duodenal GISTs appears to be oncologically and nutritionally feasible.
Cancer Chemoprevention by Phytochemicals in Fruits and Vegetables (1993)

Laboratory animal studies and epidemiological data indicate that dietary factors play an important role in animal and human health and in the development of certain diseases, including cancer. Certain phytochemicals are able to inhibit the development of some cancers in laboratory animals. Epidemiological studies indicate that the frequent and high intake of fresh vegetables and fruits is associated with lower cancer incidence and that high plasma levels of ascorbic acid, α-tocopherol, β-carotene, vitamin A, and certain phytochemicals are inversely related to cancer incidence. This evidence suggests that some constituents of fruits and vegetables may play important roles in inhibiting the carcinogenic process. The phytochemicals that are believed to be cancer preventives generally possess one or more common biological properties — induction of phase I or II detoxification enzymes, modulation of phase I and other enzyme activities, antioxidant activity, electrophile scavenging activity, inhibition of nitrosation, and/or modulation of oncogene or protooncogene expression or function. Change of lifestyle and daily eating habits today may greatly reduce risk of cancer in the future. In this chapter, the influence of intake of certain phytochemicals in fruits and vegetables on carcinogenic processes and risk of cancer is discussed and reviewed.
Optimal design of electric vehicle charging stations integrated with renewable DG (2017)

Electrification of the transportation sector is a crucial step toward achieving a sustainable society. It will lead to several advantages, such as: reduce consumption of oil, reduce emissions and integrate renewable energy resources into the grid. Deployment of electric vehicle charging stations (EVCS) is essential to encourage large adoption of Electric Vehicle (EV) as it will reduce ‘range anxiety’ concern regarding the distance the EV could travel before the battery runs out. In this work, an optimal design of an electric vehicle charging station that integrates renewable distributed generation (DG) will be designed for cost and emission reduction. Both an isolated microgrid EVCS and an EVCS connected to the grid were studied in different cases, where energy sources such as PV, wind, and diesel generator are considered to supply the EVCS demand. The model was designed using HOMER software and designed based on realistic input data in terms of physical, operational and economic characteristics.
Cooling of Data Centers Using Airside Economizers (2009)

The power trend for Server systems continues to grow thereby making thermal management of Data centers a very challenging task. Although various configurations exist, the raised floor plenum with Computer Room Air Conditioners (CRACs) providing cold air is a popular operating strategy. These rising heat load trends in data center facilities have raised concerns over energy usage. The environmental protection agency has reported that the energy used in 2006 by data center industry was 1.5% of the total energy usage by entire nation. The experts agree that by year 2010, this usage will approach 2% of the annual energy use nationwide. This has been the driving force behind the new solutions or technologies such as free cooling. Recent studies show that the outside air can be drawn in to cool the IT equipment without any undue electronic component failure due to contaminant. In this paper, different cases employing air side economizer are discussed. Numerical models are created to study the qualitative impact of the solution under various operating conditions.
Experiences of Exergaming for Upper Extremity Exercises in People With Systemic Sclerosis (2023)

Impaired upper extremity (UE) function has limited activities of daily living in people with systemic sclerosis (SSc). Exergaming, a combination of gaming and exercises, could be a novel way to improve UE exercise engagement. The objective of this study was to examine the usability of exergaming and to investigate participant experiences after exergaming among people with SSc. Both quantitative and qualitative data were collected. Participants completed questionnaires regarding the usability of exergaming. Semi-structured interviews were conducted directly after exergaming. Descriptive statistics and thematic content analysis were performed. Twenty participants with SSc participated. Exergaming was highly acceptable with a good System Usability Scale score (M = 71.6 ± 9.9). Participants described exergaming as motivating with potential physical and nonphysical benefits. Although results were generally positive, participants expressed some barriers and temporary side effects of using exergaming and needs for improvement. This work stands to inform future exergaming interventions in people with SSc.
The children and the Continuator (2009)

The DiaMuse Project collects experiments with young children interacting with a particular interactive musical system, the Continuator, created at the SONY-Computer Science Laboratory in Paris. The system is able to play with the same style of a human playing a keyboard. The pilot protocol was realised with three to five- year-old children in a kindergarten in Bologna (Italy). Other experimental protocols were then realised in Northampton (UK), and in Italy with more didactic purposes. This paper describes a synthesis of the project and the results.
Analysis of a novel laminated coil using eddy currents for AC high magnetic field (1989)

The analysis and performance of an eddy current type laminated coil for a high AC magnetic fields are described. It is usually difficult to obtain a high AC magnetic field using an air-gap coil because of eddy currents. The present coil circumvents this limitation by making use of the magnetic shielding effect of eddy currents. Two different realizations of the coil are proposed to provide design flexibility. The field distributions are analyzed by the two-dimensional finite-element method. The coils can also be applied to an induction electromagnetic pump.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Multi-UAV Routing with Priority using Mixed Integer Linear Programming (2020)

This study proposes a new mission planning method to perform routing with multiple quadrotors. Unlike conventional routing missions, this study considers the specialized routing mission for quadrotors where there is a visit priority between nodes, and there is a task to be performed at the node. One of our contributions is that a multi-layered hierarchical architecture is designed for mission planning itself at the top level, and for interworking with path planning and flight control required at the lower levels. In mission planning, to determine the optimal pair between agents and visiting nodes and the optimal order of nodes, the optimization problem is designed and solved based on mixed-integer linear programming. Furthermore, we evaluate our method by performing MATLAB and Gazebo co-simulation in a ROS environment.
Mining lifestyle personas at scale in e-commerce (2015)

Groupon is a major e-commerce company. It is unique in the sense that it is not only a vendor of goods, but also of local deals (such as restaurants, spas, activities, etc.) that reflect various aspects of a user's interests. In this sense, Groupon has a complete view of its users' lifestyle preferences. This is different from e-commerce goods vendors, who, for instance, may not have direct insight into what restaurants are preferred by their users, or what nightlife they prefer. We may say that Groupon engages the entire "lifestyle persona" of its users. Motivated by this, we consider the large scale problem of mining such "lifestyle personas" from Groupon's activity data collected over 38 million e-commerce users. This includes users drawn from one of the world's largest mobile user bases. Our solution combines domain knowledge from e-commerce with data mining and graph theoretic methods. Since Groupon offers deals and goods across the 360 degree gamut of user preferences, do lifestyle personas in its data also span this gamut? What are some of the significant personas that emerge from this data mining? Are the differences between personas gross or subtle? These are some of the questions we answer conclusively in our study. Our mined personas are both descriptive and distinctive, and offer insights into customer behaviors and lifestyles. Our work is being used to redesign the user experience, as well as to power product recommendations at Groupon.
Performance analysis of the OS familyof CFAR schemes with incoherentintegration of M -pulses in the presence of interferers (1998)

The author analyses the performance of the ordered statistics (OS) CFAR schemes for M-correlated sweeps when these processors operate in multiple-target environments. These schemes include the conventional OS scheme as well as its modified versions. Members of the OS family use local estimators based on ordered statistics and generate both a near and far range noise-level estimate. Local estimates are then combined through a mean-level (ML), a maximum (MX) or a minimum (MN) operation to estimate the final noise power level. Exact expressions are derived for the detection probabilities of these techniques under a Rayleigh fluctuating target model. The processor performance for that case is characterised by an integral equation, which is solved numerically to assess the radar system&apos;s behaviour against the background conditions. It is shown that for a fixed M, the relative improvement, over the single sweep case, increases as the correlation between consecutive sweeps decreases. For the same parameter values, the ML-OS detector gives the best homogeneous performance. In multiple-target situations, the ML-OS scheme still has the best performance, given that the number of interferers in each half of the reference window is within its allowable values (R ≤ N – K). On the other hand, the MN-OS scheme is preferable when a cluster of radar targets appears among the candidates of the reference window.