gebhart/patrepeval huggingface dataset:
Simultaneous Detection and Identification of Common Cell Culture Contaminant and Pathogenic <i>Mollicutes</i> Strains by Reverse Line Blot Hybridization (2004)

We have developed a reverse line blot (RLB) hybridization assay to detect and identify the commonest mollicutes causing cell line contamination (Mycoplasma arginini, Mycoplasma fermentans, Mycoplasma hyorhinis, Mycoplasma orale, and Acholeplasma laidlawii) and human infection (Mycoplasma pneumoniae, Mycoplasma hominis, Mycoplasma genitalium, Ureaplasma parvum, and Ureaplasma urealyticum). We developed a nested PCR assay with "universal" primers targeting the mollicute 16S-23S rRNA intergenic spacer region. Amplified biotin-labeled PCR products were hybridized to membrane-bound species-specific oligonucleotide probes. The assay correctly identified reference strains of 10 mollicute species. Cell cultures submitted for detection of mollicute contamination, clinical specimens, and clinical isolates were initially tested by PCR assay targeting a presumed mollicute-specific sequence of the 16S rRNA gene. Any that were positive were assessed by the RLB assay, with species-specific PCR assay as the reference method. Initially, 100 clinical and 88 of 92 cell culture specimens gave concordant results, including 18 in which two or more mollicute species were detected by both methods. PCR and sequencing of the 16S-23S rRNA intergenic spacer region and subsequent retesting by species-specific PCR assay of the four cell culture specimens for which results were initially discrepant confirmed the original RLB results. Sequencing of amplicons from 12 cell culture specimens that were positive in the 16S rRNA PCR assay but negative by both the RLB and species-specific PCR assays failed to identify any mollicute species. The RLB hybridization assay is sensitive and specific and able to rapidly detect and identify mollicute species from clinical and cell line specimens.
Therapies for insomnia and comorbid chronic obstructive pulmonary disease with a focus on ramelteon (rozerem). (2009)

Disclosure: Dr. Greenberg is a consultant for Takeda Pharmaceuticals North America, Inc., and is on the speaker’s bureau of Wyeth. Dr. Goss is a speaker and consultant for and has received research and educational grants from Takeda, Pfizer, Sanofi-Aventis U.S., and Sepracor. Funding for the research and writing of this article was provided by Takeda Pharmaceuticals North America, Inc.
Nitric Oxide as a Surgical Adjuvant (2015)

Advances in surgical technology have allowed for previously unconsidered therapeutic interventions. However, the complexity and invasiveness of surgical procedures are not without adverse consequences. Nitric oxide's fundamental role in a host of physiological processes, including angiogenesis, wound and bone healing, thromboresistance, smooth muscle relaxation and inflammation makes it a significant player in accelerating wound healing and mitigating the inflammation of ischemia reperfusion injury common to surgical procedures. In addition, the therapeutic properties of NO have been harnessed for the prophylactic treatment of implant infection and graft failure. In this article, we will discuss the mechanism by which NO mediates these processes, and its perioperative translational applications.
Quantum Hall effect and general narrow-wire circuits (1990)

A theoretical study is made of charged-particle motion in planar circuits made up of narrow wires, in the presence of a magnetic field of arbitrary strength, in the ballistic approximation. The basic element is a four-terminal junction of narrow wires, and its detailed properties are calculated. Its scattering probabilities strongly reflect the influence of quantum effects of the junction, including subband thresholds and virtual, resonant states, and the Hall resistance calculated from them may depart considerably from the classic wide-wire result. Physical features are related to the emergence of pinned Landau levels as the field strength increases. By suitably modifying the four-terminal method, it is extended to include elbow (``ssL'') and tee (``ssT'') junctions. The results are then used to construct linear six- and eight-terminal junctions, whose resistive properties are discussed. The Hall resistance is predicted to depend on which arms are used and on the stub spacing. The application of the method to the general linear series of junctions is then outlined. The four-terminal results are also applied to a square eight-terminal junction, to show the presence and the consequences of the Aharonov-Bohm effect in circuits with closed loops.
DC/sup 2/ scheduling for aperiodic tasks in strongly partitioned real-time systems (2002)

The strongly partitioned real time system (SP-RTS) provides temporal and spatial partitioning for its integrated real time applications. The SP-RTS architecture adopts a two-level hierarchical scheduling mechanism. In the lower level, multiple partitions (applications) are dispatched under a cyclic scheduling, whereas, in the higher level, multiple periodic tasks of each partition are scheduled according to a fixed priority algorithm. The authors focus on designing algorithms for online scheduling of aperiodic tasks in the SP-RTS environment. The Distance Constraint guaranteed Dynamic Cyclic (DC/sup 2/) scheduler that is proposed uses these basic operations: Left Sliding (LS), Right Putting (RP), and Compacting. These operations dynamically schedule aperiodic tasks within a distance-constrained cyclic schedule. We show that the dynamic applications of these operations do not violate the distance constraint characteristics of a partition cyclic schedule. In addition, the slack time calculation of these dynamic operations can be applied for scheduling hard aperiodic tasks. With the simulation studies, we observed that the DC/sup 2/ can result in a significant performance enhancement in terms of the average response time of soft aperiodic tasks and the acceptance rate for hard aperiodic tasks.
ACG-Engine: An Inference Accelerator for Content Generative Neural Networks (2019)

The technological breakthrough in Generative Adversarial Networks (GAN) has propelled the advancement of content generative applications such as AI-based paintings, style transfer, and music composition. However, in contrast to previous deep learning models for prediction and categorization, generative networks generally rely on instance normalization (IN) layer for better feature distribution, which performs significantly better than batch normalization(BN) in image style-transfer, image to image translation, etc. Unlike batch or group normalization that can be fused into convolutional layers and ignored during the network inference stage, an instance normalization layer induces intensive computation and memory access. However, prior deep learning accelerator designs for traditional Neural Network and Generative Adversarial Networks mostly focus on the acceleration of convolution and deconvolution layer but lack of support for IN operations, which could become a performance bottleneck on edge devices with insufficient computational power. To address this problem, we propose an inference accelerator for content generation (ACG-Engine) aimed to support the fundamental operations of generative networks, including convolution layers, deconvolution layers, specifically instance normalization layer. We performed a hardware-aware mathematical transformation of the IN operation for less computation complexity and memory-friendliness, so that it can be efficiently mapped to the classic 2D processing element array. Owing to the proposed optimization techniques, ACG-Engine achieves 4.56X speedup and improve power efficiency up to 29X compared to prior baseline acceleration scheme in generative network acceleration. In addition, ACG-Engine can achieve performance comparable to the classic CNN-specific accelerators with negligible power consumption and area overhead.
Fast identification of highly distorted images (2010)

In this paper, we consider a low complexity identification system for highly distorted images. The performance of the proposed identification system is analyzed based on the average probability of error. An expected improvement of the performance is obtained combining random projection transform and concept of bit reliability. Simulations based on synthetic and real data confirm the efficiency of the proposed approach.
Super flexible sensor skin using liquid metal as interconnect (2007)

Robust, flexible sensor skins have long been expected in robotic control. However, most flexible sensor skins are simply fabricated on flexible substrates with the sensor elements and electrical interconnects made from solid materials, which limits the flexibility of sensor skins. Here, we successfully incorporated liquid metal as interconnect to develop a super flexible sensor skin, which senses temperature and force simultaneously. The sensing element is PDMS elastomer mixed with 10% weight ratio multi-walled carbon nanotubes (MWNT). A eutectic liquid metal alloy (Galinstan: 68.5% Ga, 21.5% In, 10% Sn) material filled in microchannels as electrical interconnects. Thus, this skin can be bent dramatically without worrying about failure, which is a big issue for solid metal interconnects. The temperature coefficient of resistance (TCR) reaches 0.4%/degC, comparable to commercial resistance temperature detectors. The resistance change versus applied force was around 0.3%/KG.
Functional consequences of T-stem mutations in <i>E. coli</i> tRNA<sup>Thr</sup><sub>UGU</sub> in vitro and in vivo (2011)

The binding affinities between Escherichia coli EF-Tu and 34 single and double base-pair changes in the T stem of E. coli tRNA(Thr)(UGU) were compared with similar data obtained previously for several aa-tRNAs binding to Thermus thermophilus EF-Tu. With a single exception, the two proteins bound to mutations in three T-stem base pairs in a quantitatively identical manner. However, tRNA(Thr) differs from other tRNAs by also using its rare A52-C62 pair as a negative specificity determinant. Using a plasmid-based tRNA gene replacement strategy, we show that many of the tRNA(Thr)(UGU) T-stem changes are either unable to support growth of E. coli or are less effective than the wild-type sequence. Since the inviable T-stem sequences are often present in other E. coli tRNAs, it appears that T-stem sequences in each tRNA body have evolved to optimize function in a different way. Although mutations of tRNA(Thr) can substantially increase or decrease its affinity to EF-Tu, the observed affinities do not correlate with the growth phenotype of the mutations in any simple way. This may either reflect the different conditions used in the two assays or indicate that the T-stem mutants affect another step in the translation mechanism.
The Conservation of the Mosaics at the Kariye Camii (1960)

(1960). The Conservation of the Mosaics at the Kariye Camii. Studies in Conservation: Vol. 5, No. 3, pp. 102-107.
Geometrical calibration of multispectral calibration (2015)

In this paper, we introduce a novel calibration pattern board for visible and thermal camera calibration. Our pattern board is easy to make, handy to move and efficient to heat. Also, it preserves a uniform thermal radiance for a long time. Proposed method can be employed in single- and multi- spectral camera system, and also used in the splitter or stereo camera system. As a result, our method shows a good performance comparing with previous works, and we also shows that the calibrated system is enough to use in ADAS systems.
Use of synthetic mesh and donor grafts in gynecologic surgery. (2001)

Traditional surgery for the correction of pelvic organ prolapse continues to result in suboptimal long-term cure rates. In an effort to improve clinical outcomes, various new surgical techniques have been proposed and use of synthetic and donor graft has been advocated. Although the technique of graft placement for the correction of anterior, posterior, and apical vaginal wall reconstruction is easy to perform, controversy exists regarding the optimal choice of material. Synthetic materials have the advantage of being readily available, cost-effective, and consistent in quality, but may present with significant complications, including infection and erosion. In contrast, autologous and heterologous donor grafts provide naturally occurring biomaterials that may undergo desired remodelling, but the in vivo tissue response is still not fully understood. The use of graft materials is still in an early period of evaluation and it is expected that its use will steadily rise with increasing experience and new product development. The following review analyzes our current experience with the use of graft materials in reconstructive pelvic surgery.
RGB-D data fusion in complex space (2017)

Most of the RGB-D fusion methods extract features from RGB data and depth data separately and then simply concatenate them or encode these two kinds of features. Such frameworks cannot explore the correlation between the RGB pixels and their corresponding depth pixels. Motivated by the physical concept that range data correspond to the phase change and color information corresponds to the intensity, we first project raw RGB-D data into a complex space and then jointly extract features from the fused RGB-D images. Consequently, the correlated and individual parts of the RGB-D information in the new feature space are well combined. Experimental results of SIFT and fused images trained CNNs on two RGB-D datasets show that our proposed RGB-D fusion method can achieve competing performance against the classical fusion methods.
Balancing power saving and single user experience with discontinuous reception in LTE (2008)

The UTRAN long-term evolution (LTE) provides flexible means to achieve micro-sleep operation for user equipment (UE) even though it is in active mode and running a service. By means of a discontinuous reception (DRX) framework pauses in transmission due to natural traffic characteristics or network prioritization can be utilized. However, the optimum setting of parameters must be provided as a compromise among reaction latency, user throughput, power consumption, and network performance. Using a realistic RF modem power consumption model for the UE, we investigate different algorithms for optimizing the balance among user throughput and power saving using a Web-browsing session as the reference. We show that with proper configuration of the DRX parameters we can optimally achieve a 95% reduction of the UE power consumption with only a moderate and acceptable 10-20% loss of experienced throughput.
Additional indications for a temporary balloon buckle. (1980)

An operation for small retinal detachments that uses a balloon-tipped catheter as the buckling device was described in October, 1978. The balloon is inserted into Tenon's space through a small incision in the conjunctiva and is manoeuvred beneath the retinal break. Expansion of the balloon produces a buckling effect that causes the subretinal fluid to absorb. The balloon is withdrawn after 1 week. Permanent attachment is obtained by transconjunctival cryopexy around the break at the time of insertion or laser coagulation after the retina has re-attached. The balloon operation has become a preferred technique at the New York Hospital and has been used in 93 patients. Application is limited to retinal detachments caused by a single retinal break or group of breaks that together subtend less than one clock hour and that are located in the anterior two-thirds of the globe. The extent of the detachment has not proved to be a limiting factor.
Modulation level controlled adaptive modulation systems with base-station-based transmission/reception diversity scheme for personal communications (2002)

This paper proposes a modulation level controlled adaptive modulation system with the base-station based transmission/reception diversity scheme to achieve high bit rate and high quality transmission for personal communication systems. In the proposed system, the diversity branches combining techniques take account of not only the received signal level but also the delay spread to improve the performance. So, the performance will be improved in both flat Rayleigh and frequency selective fading environments. The performance of the proposed system is evaluated by computer simulation. The results show the the proposed systems can achieve 250 kbit/s and 3.9 bit/symbol satisfying BER=10/sup -3/ even at the normalized spread of /spl tau//sub rms/T/sub s/=0.17 (T/sub s/ is a symbol duration).
Providing understanding of the behavior of feedforward neural networks (1997)

The advent of artificial neural networks has stirred the imagination of many in the field of knowledge acquisition. There is an expectation that neural networks will play an important role in automating knowledge acquisition and encoding, however, the problem solving knowledge of a neural network is represented at a subsymbolic level and hence is very difficult for a human user to comprehend. One way to provide an understanding of the behavior of neural networks is to extract their problem solving knowledge in terms of rules that can be provided to users. Several papers which propose extracting rules from feedforward neural networks can be found in the literature, however, these approaches can only deal with networks with binary inputs. Furthermore, certain approaches lack theoretical support and their usefulness and effectiveness are debatable. Upon carefully analyzing these approaches, we propose a method to extract fuzzy rules from networks with continuous-valued inputs. The method was tested using a real-life problem (decision-making by pilots involving combat situations) and found to be effective.
Pose reconstruction with an uncalibrated computed tomography imaging (2003)

In this paper, we address the problem of precisely recovering the 3D (three-dimensional) pose of 3D shape fiducials from images obtained by means of an uncalibrated computed tomography (CT) imaging device. The main goal in this work is to model and estimate the geometric transformation relating line fiducials to their projections in cross-sectional images. To do so, we propose techniques, which solve the points to lines correspondence using closed-form and numerical algorithms. A geometric transformation with eight degrees of freedom (rotation, translation and anisotropic scaling) is used to model both a rigid-body transformation and a scaling transformation accounting for CT scan intrinsic parameters. Furthermore, an estimation of error bounds in space is given when image data are affected by noise. Real experiments show that the proposed method provides good results on a set of CT images from many viewpoints.
Crystallization of metal-oxide glasses in Bi-Sr-Ca-Cu-O systems (1989)

A crystallization study has been carried out for rapidly solidified Bi-Sr-Ca-Cu-O glasses with nominal compositions ${\mathrm{Bi}}_{2}$${\mathrm{Sr}}_{2}$${\mathrm{Ca}}_{2}$${\mathrm{Cu}}_{3}$${\mathrm{O}}_{\mathit{x}}$, ${\mathrm{Bi}}_{2}$${\mathrm{Sr}}_{2}$${\mathrm{Ca}}_{3}$${\mathrm{Cu}}_{4}$${\mathrm{O}}_{\mathrm{x}}$, and ${\mathrm{Bi}}_{2}$${\mathrm{Sr}}_{2}$${\mathrm{Ca}}_{4}$${\mathrm{Cu}}_{5}$${\mathrm{O}}_{\mathrm{x}}$. A temperature-time-transformation diagram for the glass with nominal composition ${\mathrm{Bi}}_{2}$${\mathrm{Sr}}_{2}$${\mathrm{Ca}}_{2}$${\mathrm{Cu}}_{3}$${\mathrm{O}}_{\mathit{x}}$ has been constructed, within which crystalline superconducting and nonsuperconducting phase regions are identified. Eutectic and primary crystallization have been found to occur during the annealing process in these metal oxides. Glass transition temperature ${T}_{g}$ values, superconducting transition temperature values of crystallized products, and microstructural changes are measured and analyzed by differential thermal analysis, electrical resistivity, and magnetization shielding, x-ray diffraction, and scanning electron microscopy experiments. Also discussed are thermodynamics and kinetics of crystallization processes and the formation of the 110-K superconducting phase.
Expression of hepatitis C virus core protein inhibits interferon‐induced nuclear import of STATs (2004)

IFN-alpha combined with ribavirin is used for the treatment of chronic hepatitis C. However, HCV has mechanisms to resist the antiviral actions of IFN-alpha. In order to study the molecular mechanisms of this resistance, the effect of HCV gene expression on IFN-induced nuclear import of STAT transcription factors and the expression of antiviral MxA protein were studied. In transiently transfected hepatoma cells, HCV core and NS5A proteins clearly inhibited the nuclear import of STAT1 and MxA protein expression (core only), whereas other viral proteins had only a marginal effect. To confirm these observations, human osteosarcoma-derived cell lines, which inducibly express HCV core protein, the entire structural region (core-E1-E2-p7), the NS3-4A complex, NS4B, NS5A, or NS5B proteins were also used. IFN-induced nuclear accumulation of STAT1 was almost completely and STAT2 was partially blocked in cell lines expressing high levels of HCV core protein. Subsequently, in these cells, IFN-alpha-induced MxB protein expression was decreased. Tumor necrosis factor-alpha (TNF-alpha)-induced nuclear import of NF-kappaB was only weakly or not at all inhibited, suggesting that the nuclear import machinery in general was not impaired. The results demonstrate a novel mechanism by which HCV gene expression may interfere with IFN-mediated host defence systems.
A chopper capacitive feedback instrumentation amplifier with input impedance boosting technique (2016)

A chopper capacitive feedback instrumentation amplifier (CCFIA) with proposed input impedance boosting technique is presented. Using a negative capacitance circuit, the proposed boosting technique achieves higher input impedance across frequency when compared to traditional approaches without injecting current back to a biopotential electrode attached to human body. Moreover, boosting the input impedance is at no expense of the input referred noise of the CCFIA. A ripple reduction loop (RRL) is employed for suppressing the output chopping ripples. Also, a DC servo loop is designed for filtering out the electrode DC offset. Simulation results, using UMC 65 nm CMOS technology, demonstrate that the proposed input impedance boosting technique achieves much higher than 2 GO input impedance. In addition, the maximum input referred ripple is less than 1 μV. The CCFIA can tolerate up to 20 mV of electrode DC offset. The overall CCFIA achieves an input referred noise PSD equals to 35 nV/√Hz and bandwidth equals to 450 Hz with supply voltage equals to 1.2 V.
ResNet with one-neuron hidden layers is a Universal Approximator (2018)

We demonstrate that a very deep ResNet with stacked modules with one neuron per hidden layer and ReLU activation functions can uniformly approximate any Lebesgue integrable function in $d$ dimensions, i.e. $\ell_1(\mathbb{R}^d)$. Because of the identity mapping inherent to ResNets, our network has alternating layers of dimension one and $d$. This stands in sharp contrast to fully connected networks, which are not universal approximators if their width is the input dimension $d$ [Lu et al, 2017; Hanin and Sellke, 2017]. Hence, our result implies an increase in representational power for narrow deep networks by the ResNet architecture.
Frequency Domain Turbo Equalization for Vestigial Sideband Modulation with Punctured Trellis Coding (2006)

This work proposes a frequency domain turbo equalization (FDTE) scheme for the reception of transmissions that employ vestigial sideband modulation and punctured trellis coding, as specified by the ATSC North American terrestrial digital television (DTV) standard. The proposed FDTE scheme enables low-cost and high performance reception of highly impaired DTV signals. Through numerical simulation, we demonstrate that our FDTE scheme outperforms the traditional joint DFE/decoding approach at a fraction of the implementation cost