gebhart/patrepeval huggingface dataset:
Implementation of a novel control concept for reliable operation of a VIENNA rectifier under heavily unbalanced mains voltage conditions (2002)

The practical realization of a novel concept for output voltage control and mains voltage proportional guidance of the input currents of a three-phase/switch/level PWM (VIENNA) rectifier system being connected to a heavily unbalanced mains is presented. The control is investigated experimentally for a wide input voltage range 6.5 kW prototype of the VIENNA rectifier.
Complete Sequencing and Chromosome-Scale Genome Assembly of the Industrial Progenitor Strain P2niaD18 from the Penicillin Producer Penicillium chrysogenum (2014)

Penicillium chrysogenum is the major industrial producer of the β-lactam antibiotic penicillin. Here, we report the complete genome sequence of the industrial progenitor strain P. chrysogenum P2niaD18 in a chromosome-scale genome assembly. P2niaD18 is distinguished from the recently sequenced P. chrysogenum Wisconsin 54-1255 strain by major chromosomal rearrangements leading to a modified chromosomal architecture.
An Optoelectronic Neural Network (1990)

We describe and present results of an optoelectronic neural network processing system. The system uses an algorithm based on the Hebbian learning rule to memorise a set of associated vector pairs. Recall occurs by the processing of the input vector with these stored associations in an incoherent optical vector multiplier using optical polarisation rotating liquid crystal spatial light modulators to store the vectors and an optical polarisation shadow casting technique to perform multiplications. Results are detected on a photodiode array and thresholded electronically by a controlling microcomputer. The processor is shown to work in autoassociative and heteroassociative modes with up to 10 stored memory vectors of length 64 (equivalent to 64 neurons) and a cycle time of 50ms. We discuss the limiting factors at work in this system, how they affect its scalability and the general applicability of its principles to other systems.
A Trans-acting Protein Kinase Identified in Cells Transformed by Abelson Murine Leukemia Virus (1980)

Abelson murine leukemia virus (Ab-MuLV) is a transformation-defective retrovirus derived from the Moloney murine leukemia virus (M-MuLV). The basic biology, genomic structure, mRNA species, protein translation products, and serological characterization of Ab-MuLV are reviewed elsewhere (Baltimore et al., this volume). The prototype Ab-MuLV strain is known to encode a single major polyprotein with a molecular weight (m.w.) of 120,000 (P120) and an amino-terminal region (∼30,000 m.w.) derived from retained sequences of the M-MuLV genome. A car-boxyterminal region (∼90,000 m.w.) encoded from the Ab-MuLV unique sequences contains distinctive antigenic determinants (Witte et al. 1978, 1979).
External short circuit fault diagnosis for lithium-ion batteries (2014)

In this paper, a diagnostic method for identifying an external short circuit (ESC) fault for a lithium-ion battery is developed based upon active characterization experiments and online validation. The proposed method examines three criteria: voltage variation, current variation and temperature change rate. These criteria can be used to identify the fault independent of the battery state of charge (SoC) when an ESC fault occurs. Experimental results are presented to validate the feasibility of the proposed diagnostic method.
Electromagnetic optimization of 3-D structures (1997)

This paper discusses novel techniques and methodologies suitable for automated electromagnetic (EM) design of arbitrary three-dimensional (3-D) structures. In the context of parameterization of arbitrary 3-D structures, the authors outline the concept of the geometry capture technique. The authors present efficient response interpolation with respect to optimizable parameters-the key to effective automation. The authors' formulation is based on the maximally flat quadratic interpolation (MFQI) technique and provides gradient estimation essential to efficient optimization. The authors address the issue of storing the results of expensive EM simulations in a dynamically updated database, integrated with the interpolation technique. The automated EM optimization process is illustrated by the design of waveguide mitered bends. The authors also apply the aggressive space mapping (SM) technique to the optimization of multistep waveguide transformers.
Proresorptive Actions of FSH and Bone Loss (2007)

We review studies that propose follicle-stimulating hormone (FSH) as a physiologic stimulator of osteoclastic bone resorption. We hypothesize that, in addition to low estrogen, a rising FSH contributes to the increased bone resorption and bone loss in hypergonadism. This is of particular relevance to the perimenopausal transition, wherein profound bone loss is accompanied by trabecular perforations in the face of high FSH and normal estrogen levels. Potential therapeutic implications include the development of antagonists to both circulating FSH and its osteoclastic receptor.
BIOLOGICALLY INSPIRED CIRCUITS: COALITION FORMATION IN AGGREGATES (2006)

Knowledge of how a hippocampal brain structure works is informative for the design of circuits and architectures of practical use in pattern recognition. A new model for neural membrane dynamics is derived here that is consistent with micro- and nano-circuits, and it is employed to analyze the response of an aggregate of oscillators to common forcing. The result is a pattern of resonant responses that can serve as a basis for comparison in pattern recognition methodologies that we are investigating elsewhere.
From feature scale simulation to backend simulation for a 100 nm CMOS process (2004)

The current challenge for TCAD is the prediction of the performance of groups of devices, backends, and - generally speaking - large parts of the final IC, in contrast to the simulation of single devices and their fabrication. This enables one to predictively simulate the performance of the final device depending on different process technologies and parameters, which the simulation of single devices cannot achieve. In this paper, we focus on the simulation of backend, interconnect capacitance, and time delays. To that end, topography simulations of deposition, etching, and CMP processes in the various metal lines are used to build up the backend stack. The output of the feature scale simulations is used as input to a capacitance extraction tool, whose results are made available directly to the circuit designer. We discuss the utilized simulation tools and their integration. The topography simulations were performed by our tool called ELSA (enhanced level set applications) and the subsequent simulations by RAPHAEL. Finally simulation results for a 100 nm process are presented, where the influence of void formation between metal lines profoundly impacts the performance of the whole interconnect stack.
Optical in-constants: extracting reliable n and k parameters in high-throughput for plasmonic alloys as a function of composition (Conference Presentation) (2019)

Plasmonic materials offer the extraordinary property of optical field confinement, and find emerging applications in sensing, optical computing, sub-wavelength imaging among others. Developers wishing to exploit this phenomenon however, are limited by the sparse availability of reliable, experimentally-derived optical constant data (n & k) for the purposes of optical simulations. Typically, computational simulations employ values from Johnson & Christy’s tabulation or Palik’s handbook which are known to contain inaccuracies and are also limited to simple material compositions. A database of experimentally-derived optical constants for more complex materials therefore has value. We present the high-throughput synthesis of plasmonic alloys and rapid characterisation of their optical properties as a function of both composition and wavelength. The variance in refractive index and extinction coefficient show correlation with lattice parameter, crystalline phases of intermetallic compounds and other quality factors that would not be taken into account with a traditional effective medium approximation (weighted averaging of n & k with composition). Moreover, ellipsometry of compositional gradient thin films which are 1) metallic, 2) optically thick, and 3) smooth and highly reflective is an effective method for rapidly assessing the optical constants of complex plasmonic alloy systems.
Solid State Imaging Techniques. A method for Integration of Gamma Correction and Gain Control Circuits on a CMOS Image Sensor. (1998)

本稿では, ガンマ補正とゲイン調整をCMOSイメージセンサ上に集積化する一手法を提案する.画素回路には, 対数圧縮特性をもつアクティブピクセルセンサを用いる.CMOSプロセスのn-wellを用いた基板pnpバイポーラトランジスタにより, 対数変換されたセンサの電圧信号は指数伸長される.この対数圧縮-指数伸長処理により, 簡単な構成でガンマ補正と自動ゲイン調整が可能となる.基本特性を, 回路シミュレーションにより確認した.
Waveform Optimization for SWIPT with Nonlinear Energy Harvester Modeling (2016)

Simultaneous Wireless Information and Power Transfer (SWIPT) has attracted significant attention in the communication community. The problem of waveform design for SWIPT has however never been addressed so far. In this paper, a novel SWIPT transceiver architecture is introduced relying on the superposition of multisine and OFDM waveforms at the transmitter and a power-splitter receiver equipped with an energy harvester and an information decoder capable of cancelling the multisine waveforms. The SWIPT multisine/OFDM waveforms are optimized so as to maximize the rate-energy region of the whole system. They are adaptive to the channel state information and result from a posynomial maximization problem that originates from the non-linearity of the energy harvester. Numerical results illustrate the performance of the derived waveforms and SWIPT architecture.
Eradication of a disseminated syngeneic mouse lymphoma by systemic adoptive transfer of immune lymphocytes and its dependence upon a host component(s). (1985)

We have studied the in vivo effects of carrageenan and trypan blue on the adoptive immunotherapy of an established local and disseminated syngeneic mouse FBL-3 lymphoma. Mice receiving 500 rads total-body irradiation before injection of FBL-3 tumor into the footpad were treated 4 to 5 days later when a palpable local tumor and disseminated metastases were present. Injection of in vivo immune lymphocytes i.v. caused complete regression of footpad tumor and cured 96% of all mice (greater than 60 days mean survival; p less than 0.0005). Carrageenan or trypan blue treatment of the tumor-bearing host abrogated the therapeutic effect of adoptively transferred cells. Cure rates were significantly reduced to 27% (p less than 0.004) and 0% (p less than 0.0001) and mean survival times to 40.2 days (p less than 0.0005) and 15.2 (p less than 0.005) days for mice treated with carrageenan and trypan blue, respectively, in addition to immune cells. In vivo treatment of the immune spleen cell donors with carrageenan or trypan blue had no significant effect on the ability of those splenocytes to mediate cure when adoptively transferred into tumor-bearing hosts, indicating that the inhibitory activity of these agents cannot be attributed to direct toxicity to immune lymphoid cells. These results demonstrate that a recipient component(s), possibly macrophages, sensitive to carrageenan and to trypan blue but relatively resistant to radiation (500 rads), plays a vital role in the cure of tumor-bearing mice that receive the adoptive transfer of immune splenocytes.
ANTIBIOTIC SUSCEPTIBILITY OF BACTERIA INFECTING TOTAL JOINT ARTHROPLASTY SITES (2006)

Background: Currently, there is no consensus regarding the principles of empiric antibiotic treatment of suspected periprosthetic infection following total knee and hip arthroplasties. This study was undertaken to attempt to establish such principles. Methods: We performed a retrospective analysis of 146 patients who had had a total of 194 positive cultures of specimens obtained at the time of a reoperation following a total knee or total hip arthroplasty at one of two institutions. Patient demographic data, comorbid conditions, bacterial species, the antibiotic sensitivity profile, and the postoperative day on which the culture tested positive were recorded. Results: Specimens from 110 hips and eighty-four knees were positive on culture. Seventy percent of the infections were classified as chronic; 17%, as acute postoperative; and 13%, as acute hematogenous. The mean time between the operation and the positive culture results was three days. Gram-positive organisms caused the majority of the infections. In the series as a whole, 88% of the bacteria were sensitive to gentamicin; 96%, to vancomycin; and 61%, to cefazolin. The most antibiotic-resistant bacterial strains were from patients for whom prior antibiotic treatment had failed. Acute postoperative infections had a greater resistance profile than did chronic or hematogenous infections. Bacteria isolated from patients with a hematogenous infection had a high sensitivity to both cefazolin and gentamicin. Conclusions: Empiric antibiotic treatment for suspected periprosthetic infection should be guided by the class of the infection and the findings of Gram staining. We believe that, until the final culture results are available, acute hematogenous infections should initially be treated by a combination of cefazolin and gentamicin therapy. All chronic and acute postoperative infections with Gram-positive bacteria and all cases in which a Gram stain fails to identify bacteria should be managed with vancomycin. Infections with Gram-negative bacteria should be managed with a third or fourth-generation cephalosporin. Infections with mixed Gram-positive and Gram-negative bacteria should be managed with a combination of vancomycin and a third or fourth-generation cephalosporin. Furthermore, we believe that if culture results and other confirmatory tests are not positive by the fourth postoperative day, termination of empiric antibiotic therapy should be considered. Level of Evidence: Diagnostic Level IV. See Instructions to Authors for a complete description of levels of evidence.
A CM construction for curves of genus 2 with p-rank 1 (2008)

We construct Weil numbers corresponding to genus-2 curves with $p$-rank 1 over the finite field $\F_{p^2}$ of $p^2$ elements. The corresponding curves can be constructed using explicit CM constructions. In one of our algorithms, the group of $\F_{p^2}$-valued points of the Jacobian has prime order, while another allows for a prescribed embedding degree with respect to a subgroup of prescribed order. The curves are defined over $\F_{p^2}$ out of necessity: we show that curves of $p$-rank 1 over $\F_p$ for large $p$ cannot be efficiently constructed using explicit CM constructions.
A Cationic Terminal Methylene Complex of Ir(I) Supported by a Pincer Ligand (2013)

A rare example of a cationic methylene complex of Ir(I), [(PONOP)Ir(CH2)]+, 2 (PONOP = 2,6-bis(di-tert-butylphosphinito)pyridine), has been prepared by α-hydride abstraction from the previously described neutral methyl complex [(PONOP)Ir(CH3)]. The intrinsic high reactivity of the compound prevented both the isolation of a pure solid and its full characterization in the solid state. Nevertheless, the proposed molecular structure finds unequivocal support in multinuclear NMR spectroscopy and in reactivity studies that include reactions with Lewis bases, dihydrogen, and ethyl diazoacetate. An ylide compound, 3, resulted from the reaction between [(PONOP)Ir(CH2)]+ and PMe3, while the η2-alkene complex 5 formed in a C═C coupling reaction involving the methylene ligand of 2 and ethyl diazoacetate. Hydrogenolysis of the Ir═CH2 linkage of 2 led to several, previously known, hydride and dihydrogen iridium complexes.
HARTOS: a distributed real-time operating system (1989)

This paper outlines the design objectives and research goals for HARTOS, a distributed real-time operating system being developed at The University of Michigan. This effort is part of a larger research project to design and implement an experimental distributed real-time system called the Hexagonal Architecture for Real-Time Systems (HARTS). An important feature of HARTS is the use of an intelligent network processor to handle many of the functions relating to communications. The paper focuses on the communications aspects of the operating system and the control software kernel of the network processor. The preliminary version of the kernel provides good support for inter-process communication and distributed control. Its performance has been measured and analyzed and found to be comparable to that of other message passing systems like the V system.
A Validation Study of the Deep-Learning-Based Prostate Imaging Reporting and Data System Scoring Algorithm (2022)

Purpose: The Prostate Imaging Reporting and Data System (PI-RADS) was introduced to standardize prostate cancer diagnosis by MRI. However, the inter-reader agreement by PI-RADS scoring is not always high. The purpose of this study was to validate a deep-learning-based diagnostic algorithm of PI-RADS. Methods: We applied a Siemens Healthineers Prostate Artificial Intelligence (AI) prototype (work in progress) for fully automated prostate lesion detection, classification and reporting. More than 2000 bi-parametric MRI studies along with the PI-RADS reports were included as training, validation, and test data. This prospective validation study includes 101 consecutive patients suspected of prostate cancer, and 100 patients were included in the analysis. All subjects underwent a noncontrast-enhanced bi-parametric MRI including T2-weighted and diffusion-weighted imaging. Two board-certified radiologists independently scored the PI-RADS, and if there were disagreements; another radiologist confirmed the diagnosis. We compared the AI results with the interpretation results by the radiologists. Results: The sensitivity of our AI model for PI-RADS ≥ 4 was 0.76, and the specificity was 0.76. For the cases with PI-RADS ≥ 3, the sensitivity was 0.69, and the specificity was 0.76. In the lesion-based analysis, AI detection rates of PI-RADS 3, 4, 5 lesions in the peripheral zone were 43%, 63%, and 100%, respectively. In the transition zone, AI detection rates of PI-RADS 3, 4, 5 were 30%, 54%, and 100%, respectively. Conclusion: Our deep-learning-based algorithm has been validated and shown to help score PI-RADS.
Constrained multi‐objective antenna design optimization using surrogates (2017)

Abstract A novel surrogate‐based constrained multi‐objective optimization algorithm for simulation‐driven optimization is proposed. The evolutionary algorithms usually applied in antenna design optimization typically require a large number of objective function evaluations to converge. The efficient constrained multiobjective optimization algorithm described in this paper identifies Pareto‐optimal solutions satisfying the required constraints using very few function evaluations. This leads to substantial savings in time and drastically reduces the time to market for expensive antenna design optimization problems. The efficiency of the approach is demonstrated on the design of an L1‐band GPS antenna. The algorithm automatically optimizes the antenna geometry, parametrized by 5 design variables with performance constraints on three objectives. The results are compared with well‐established multiobjective optimization evolutionary algorithms.
Modulation of a specific humoral immune response and changes in intestinal flora mediated through fermented milk intake (1994)

This study was undertaken to elucidate whether eating a fermented milk containing Lactobacillus acidophilus La1 and bifidobacteria could induce changes in intestinal flora and modulate the immune response in man. Volunteers consumed a fermented milk containing L. acidophilus La1 and bifidobacteria over a period of three weeks during which an attenuated Salmonella typhi Ty21a was administered to mimic an enteropathogenic infection. A control group ate no fermented foods but received the S. typhi Ty21a. Faecal flora analyses showed an increase in L. acidophilus and bifidobacterial counts during fermented milk intake. The specific serum IgA titre rise to S. typhi Ty21a in the test group was > 4-fold and significantly higher (P = 0.04) than in the control group. An increase in total serum IgA was also observed. These results indicate that lactic acid bacteria which can persist in the gastrointestinal tract can act as adjuvants to the humoral immune response.
Multi-Layered Solid-State Neutron Sensor. (2021)

Abstract not provided.
Congestive heart failure from intracranial arteriovenous fistula in infancy. Clinical and physiologic considerations in eight patients. (1972)

The clinical recognition of an intracranial arteriovenous fistula in a newborn infant depends on finding good peripheral pulses, a hyperdynamic cardiac impulse, cardiomegaly, and a cranial bruit. Dilated scalp veins and visible vascular malformations over the head will point toward the diagnosis. Cardiac catheterization can be diagnostic through recognition of a wide pulse pressure in combination with high oxygen saturations in the jugular veins and the right heart chambers. Cerebral angiography provides required anatomic detail. Surgical clipping of the feeding arteries may be helpful and even curative.
Comprehensive Cardiovascular Magnetic Resonance Assessment in Patients With Sarcoidosis and Preserved Left Ventricular Ejection Fraction (2016)

Patients with sarcoidosis demonstrate higher T1, extracellular volume, and T2 values compared with healthy controls, with most significant differences for native T1 and T2. While promising, the clinical significance of the newer mapping techniques with respect to early diagnosis and therapy of CS will have to be determined in future studies.
ChemInform Abstract: Synthesis of Plagiochins A and B, Macrocyclic Bis(bibenzyl) Ethers from Plagiochila acantophylla. (1993)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Supplemental Figure Legends from Exome Sequencing of African-American Prostate Cancer Reveals Loss-of-Function <i>ERF</i> Mutations (2023)

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Maximum-Entropy Fine-Grained Classification (2018)

Fine-Grained Visual Classification (FGVC) is an important computer vision problem that involves small diversity within the different classes, and often requires expert annotators to collect data. Utilizing this notion of small visual diversity, we revisit Maximum-Entropy learning in the context of fine-grained classification, and provide a training routine that maximizes the entropy of the output probability distribution for training convolutional neural networks on FGVC tasks. We provide a theoretical as well as empirical justification of our approach, and achieve state-of-the-art performance across a variety of classification tasks in FGVC, that can potentially be extended to any fine-tuning task. Our method is robust to different hyperparameter values, amount of training data and amount of training label noise and can hence be a valuable tool in many similar problems.