gebhart/patrepeval huggingface dataset:
Epidemiologic Correlates of Cervical Neoplasia and Risk of Human Papillomavirus Infection in Asymptomatic Women in Brazil (1989)

To investigate whether the epidemiologic correlates of cervical cancer are predictors of infection with genital human papillomavirus (HPV), we performed a prevalence survey in two metropolitan areas of Brazil, Recife and São Paulo. The data records of four randomly selected HPV-negative women were matched on the basis of age, clinic, and admission period with those of each of 136 patients with positive HPV DNA hybridizations. Anal intercourse [prevalence rate ratio (PRR) = 1.7] and current pregnancy (PRR = 2.3) were the only variables associated with HPV 6/11 infection (P less than .10). Only the frequency of gynecologic consultations was associated (negatively) with risk of HPV 16/18 infection (P = .0175). Our data failed to provide evidence for the existence of shared risk factors for genital HPV infection and cervical cancer. The frequency of mixed HPV infections was 13 times higher than expected, a finding suggestive of the existence of additional determinants of HPV infection not akin to the general behavioral characteristics of women that are probed in the study.
Transforming business process models: enabling programming at a higher level (2005)

Two practical paradigms are presented, which facilitate domain concepts to be directly used to model business operations: the first paradigm is based on the business artifacts and their life cycle; the second paradigm is based on the business tasks and their sequencing. Transformation is an effective way to bridge the gap between business level analysis and IT solutions. We present algorithms that transform business process models based on these two paradigms into IT solutions of Web service platform. The specific problems we addressed in this transformation are: 1) how to generate the implementation code of an optimal size; 2) how to preserve the natural structure of business process models in the generated code.
Designing and deploying online field experiments (2014)

Online experiments are widely used to compare specific design alternatives, but they can also be used to produce generalizable knowledge and inform strategic decision making. Doing so often requires sophisticated experimental designs, iterative refinement, and careful logging and analysis. Few tools exist that support these needs. We thus introduce a language for online field experiments called PlanOut. PlanOut separates experimental design from application code, allowing the experimenter to concisely describe experimental designs, whether common "A/B tests" and factorial designs, or more complex designs involving conditional logic or multiple experimental units. These latter designs are often useful for understanding causal mechanisms involved in user behaviors. We demonstrate how experiments from the literature can be implemented in PlanOut, and describe two large field experiments conducted on Facebook with PlanOut. For common scenarios in which experiments are run iteratively and in parallel, we introduce a namespaced management system that encourages sound experimental practice.
A capacity degradation model for sectorized FFR networks (2013)

This paper presents a capacity degradation model for sectorized cellular networks with FFR (Fractional Frequency Reuse). A sectorized FFR network (SFN) consists of a super group and a number of sectors. Since a super group in a cell employs the same frequency partition as the other super groups in the neighboring cells, inter-cell interferences may become serious when the radius of the super group is largely increased. In the worse case, the largely increasing inter-cell interferences will eventually degrade the overall system capacity. In this paper, Folded Normal Distribution (FND) of MSs is assumed in building the capacity degradation model. Numerical simulations show that by carefully adjusting the ratio between the radius of the super group and the radius of a cell, (i) an MS can receive the same capacity no matter where it is, and (ii) the maximum system capacity can be achieved.
Review of "Introduction to BioMEMS" by (2013)

This article is a review of the book Introduction to BioMEMS by Albert Folch which is published by CRC Press, Taylor & Francis Group. It will review the contents of the book and discuss it suitability as textbook, highlights of the book, and comparison to other textbooks on BioMEMS. Summary Introduction to BioMEMS by Albert Folch is a well written textbook for advanced undergraduate and introductory graduate level courses in biological applications of micro-electro-mechanical systems and lab-on-a-chip devices. It provides coverage of both historical perspectives and the latest developments in this rapidly developing field. The extensive use of color figures, the non-extensive use of equations, and a thorough glossary of terms will make this textbook ideal for an interdisciplinary intro- ductory bioengineering course. The on-line price of the book ranges from $84-$90.
Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution (2017)

Most modern face super-resolution methods resort to convolutional neural networks (CNN) to infer highresolution (HR) face images. When dealing with very low resolution (LR) images, the performance of these CNN based methods greatly degrades. Meanwhile, these methods tend to produce over-smoothed outputs and miss some textural details. To address these challenges, this paper presents a wavelet-based CNN approach that can ultra-resolve a very low resolution face image of 16 × 16 or smaller pixelsize to its larger version of multiple scaling factors (2×, 4×, 8× and even 16×) in a unified framework. Different from conventional CNN methods directly inferring HR images, our approach firstly learns to predict the LR's corresponding series of HR's wavelet coefficients before reconstructing HR images from them. To capture both global topology information and local texture details of human faces, we present a flexible and extensible convolutional neural network with three types of loss: wavelet prediction loss, texture loss and full-image loss. Extensive experiments demonstrate that the proposed approach achieves more appealing results both quantitatively and qualitatively than state-ofthe- art super-resolution methods.
Cross-VM Information Leaks in FPGA-Accelerated Cloud Environments (2021)

The availability of FPGAs in cloud data centers offers rapid, on-demand access to hardware compute resources that users can configure to their own needs. However, the low-level access to the hardware FPGA and associated resources such as PCIe, SSD, or DRAM also opens up threats of malicious attackers uploading designs that are able to infer information about other users or about the cloud infrastructure itself. In particular, this work presents a new, fast PCIe-contention-based channel that is able to transmit data between different FPGA-accelerated virtual machines with bandwidths reaching 2 kbps with 97% accuracy. This paper further demonstrates that the PCIe receiver circuits are able to not just receive covert transmissions, but can also perform fine-grained monitoring of the PCIe bus or detect different types of activities from other users’ FPGA-accelerated virtual machines based on their PCIe traffic signatures. Beyond leaking information across different virtual machines, the ability to monitor the PCIe bandwidth over hours or days can be used to estimate the data center utilization and map the behavior of the other users. The paper also introduces further novel threats in FPGA-accelerated instances, including contention due to shared NVMe SSDs as well as thermal monitoring to identify FPGA co-location using the DRAM modules attached to the FPGA boards. This is the first work to demonstrate that it is possible to break the separation of privilege in FPGA-accelerated cloud environments, and highlights that defenses for public clouds using FPGAs need to consider PCIe, SSD, and DRAM resources as part of the attack surface that should be protected.
Genetic and Molecular Analyses of Natural Variation Indicate <i>CBF2</i> as a Candidate Gene for Underlying a Freezing Tolerance Quantitative Trait Locus in Arabidopsis (2005)

Natural variation for freezing tolerance is a major component of adaptation and geographic distribution of plant species. However, little is known about the genes and molecular mechanisms that determine its naturally occurring diversity. We have analyzed the intraspecific freezing tolerance variation existent between two geographically distant accessions of Arabidopsis (Arabidopsis thaliana), Cape Verde Islands (Cvi) and Landsberg erecta (Ler). They differed in their freezing tolerance before and after cold acclimation, as well as in the cold acclimation response in relation to photoperiod conditions. Using a quantitative genetic approach, we found that freezing tolerance differences after cold acclimation were determined by seven quantitative trait loci (QTL), named FREEZING TOLERANCE QTL 1 (FTQ1) to FTQ7. FTQ4 was the QTL with the largest effect detected in two photoperiod conditions, while five other FTQ loci behaved as photoperiod dependent. FTQ4 colocated with the tandem repeated genes C-REPEAT BINDING FACTOR 1 (CBF1), CBF2, and CBF3, which encode transcriptional activators involved in the cold acclimation response. The low freezing tolerance of FTQ4-Cvi alleles was associated with a deletion of the promoter region of Cvi CBF2, and with low RNA expression of CBF2 and of several CBF target genes. Genetic complementation of FTQ4-Cvi plants with a CBF2-Ler transgene suggests that such CBF2 allelic variation is the cause of CBF2 misexpression and the molecular basis of FTQ4.
Guest Editorial: Special Section on Modeling, Design, and Application of Next-Generation Power Components (2020)

We Have witnessed that each generation of power devices triggered a renovation in power conversion in the past decades. Wide bandgap (WBG) power devices,as the new generation of power devices, will undoubtedly make great changes to today’s power conversion system. Actually, they are now establishing new benchmarks in various applications benefiting from their higher switching frequency,higher power density, and higher efficiency. A broad consensus has been reached that power integration technology should be employed to fully explore the potential of WBG devices.Simultaneously, the characteristics of WBG devices also create a great chance for integration. However, many issues need to be addressed on the WBG-enabled power integration road,including device modeling, gate driving techniques, device and module packaging, and application-oriented integration schemes. Magnetics and capacitors also play a key role in power integration. Their power loss, operating temperature,and integration scheme with active devices also fall in the research interests.
New and improved: Linda in Java (2004)

This paper discusses the current resurgence of interest in the Linda coordination language for parallel and distributed programming. Particularly in the Java field, there have been a number of developments over the past few years. These developments are summarised together with the advantages of using Linda for programming concurrent systems. Some problems with the basic Linda approach are also discussed and a novel solution to these is presented.
Long-Term Use of the Low Dose LHRH Analogue Combined With Monthly Medroxy-Progesterone Administration (1989)

In a pilot study, chronic pelvic pain associated with endometriosis, dysmenorrhoea or menorrhagia has been treated for prolonged periods with low dose buserelin (daily) and medroxy-progesterone (monthly). The partial inhibition of ovarian function was effective in relieving pain and controlling uterine bleeding, with few side effects. There was no change in serum cholesterol level. A possible small bone demineralisation effect has been observed.
Neuroprotective and Neurorescue Effects of a Novel Polymeric Nanoparticle Formulation of Curcumin (NanoCurc™) in the Neuronal Cell Culture and Animal Model: Implications for Alzheimer's disease (2011)

Alzheimer's disease (AD) is characterized by deposition of amyloid-β (Aβ) plaques within the brain parenchyma followed by synaptic loss and neuronal death. Deposited Aβ reacts with activated microglia to produce reactive oxygen species (ROS) and cytochemokines, which lead to severe neuroinflammation. Curcumin is a yellow polyphenol compound found in turmeric, a widely used culinary ingredient that possesses anti-inflammatory and anti-cancer properties and may show efficacy as a potential therapeutic agent in several neuro-inflammatory diseases including AD. However, poor aqueous solubility and sub-optimal systemic absorption from the gastrointestinal tract may represent factors contributing to its failure in clinical trials. To increase curcumin's bioavailability, a polymeric nanoparticle encapsulated curcumin (NanoCurc™) was formulated which is completely water soluble. NanoCurc™ treatment protects neuronally differentiated human SK-N-SH cells from ROS (H2O2) mediated insults. NanoCurc™ also rescues differentiated human SK-N-SH cells, which were previously insulted with H2O2. In vivo, intraperitoneal (IP) NanoCurc™ injection at a dose of 25mg/kg twice daily in athymic mice resulted in significant curcumin levels in the brain (0.32 μg/g). Biochemical study of NanoCurc™-treated athymic mice revealed decreased levels of H2O2 as well as caspase 3 and caspase 7 activities in the brain, accompanied by increased glutathione (GSH) concentrations. Increased free to oxidized glutathione (GSH:GSSH) ratio in athymic mice brain versus controls also indicated a favorable redox intracellular environment. Taken together, these results suggest that NanoCurc™ represents an optimized formulation worthy of assessing the therapeutic value of curcumin in AD.
Broadband stripline to microstrip transition with constant impedance field matching section for applications in multilayer planar technologies (2010)

This paper presents a broadband Stripline-to-Microstrip transition with constant impedance section. In the transition the structural parameters of transmission line have been used to provide smooth electromagnetic field matching together with providing unchanged characteristic impedance along transition section. This solution eliminates the necessity of impedance transformer. The transition enables easy access to stripline circuits situated on the internal layers of multilayer structures by use of typical microstrip terminals. The transition has a simple structure for the ease of fabrication with low cost. The measured performance exhibits flat frequency response over broad bandwidth. The insertion loss is less than 0.5 dB and a return loss is better than 25 dB within frequency range 1 GHz to 10 GHz
Creation and phenotypic analysis of alpha-lactalbumin-deficient mice. (1994)

alpha-Lactalbumin is an abundant milk-specific calcium metalloprotein which has an evolutionary relationship to lysozyme. It modifies the substrate specificity of a Golgi galactosyltransferase by forming the lactose synthetase binary complex. Lactose, together with other sugars and diffusible ions, is responsible for the osmotic pressure of milk. To assess the involvement of alpha-lactalbumin in lactogenesis, alpha-lactalbumin-deficient mice were created by disrupting the gene by homologous recombination in embryonic stem cells. Homozygous mutant mice are viable and fertile but females cannot feed their offspring. They produce a highly viscous milk that pups appear to be unable to remove from the mammary gland. This milk is rich in fat and protein and is devoid of alpha-lactalbumin and lactose. The phenotype of heterozygous mice was found to be intermediate, with a 40% decrease in alpha-lactalbumin but only a 10-20% decrease in the lactose content of their milk compared with wild-type animals. These results emphasize the key function of alpha-lactalbumin in lactogenesis and open new opportunities to manipulate milk composition.
Asymmetric 1,4‐Addition of Organosiloxanes to α,β‐Unsaturated Carbonyl Compounds Catalyzed by a Chiral Rhodium Complex. (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Activation of DNA-dependent Protein Kinase by Single-stranded DNA Ends (2000)

DNA-dependent protein kinase (DNA-PK) is involved in joining DNA double-strand breaks induced by ionizing radiation or V(D)J recombination. The kinase is activated by DNA ends and composed of a DNA binding subunit, Ku, and a catalytic subunit, DNA-PK(CS). To define the DNA structure required for kinase activation, we synthesized a series of DNA molecules and tested their interactions with purified DNA-PK(CS). The addition of unpaired single strands to blunt DNA ends increased binding and activation of the kinase. When single-stranded loops were added to the DNA ends, binding was preserved, but kinase activation was severely reduced. Obstruction of DNA ends by streptavidin reduced both binding and activation of the kinase. Significantly, short single-stranded oligonucleotides of 3-10 bases were capable of activating DNA-PK(CS). Taken together, these data indicate that kinase activation involves a specific interaction with free single-stranded DNA ends. The structure of DNA-PK(CS) contains an open channel large enough for double-stranded DNA and an adjacent enclosed cavity with the dimensions of single-stranded DNA. The data presented here support a model in which duplex DNA binds to the open channel, and a single-stranded DNA end is inserted into the enclosed cavity to activate the kinase.
Transport of incoming influenza virus nucleocapsids into the nucleus (1991)

Upon penetration of the influenza virus nucleocapsid into the host cell cytoplasm, the viral RNA and associated proteins are transported to the nucleus, where viral transcription and replication occur. By using quantitative confocal microscopy, we have found that over half of cell-associated nucleoprotein (NP) entered the nucleus with a half time of 10 min after penetration into CHO cells. Microinjection and immunoelectron microscopy experiments indicated that the NP entered the nucleus through the nuclear pore as part of an intact ribonucleoprotein (RNP) structure and that its transport was an active process. Transport of the incoming RNPs into the nucleus was not dependent on an intact microfilament, microtubule, or intermediate filament network. Subsequent to penetration, the matrix (M1) protein appeared to dissociate from the RNP structure and to enter the nucleus independently of the RNP. We found that 50% of penetrated M1 entered the nucleus with a half time of 25 min after penetration into CHO cells. Nuclear transport of M1 appeared to occur by passive diffusion. Entry of incoming M1 into the nucleus was not a prerequisite for infection.
Predictability and effect of phase behavior of CO<sub>2</sub>/propylene carbonate in supercritical fluid chromatography (1991)

Abstract The phase behavior (P‐T‐ x ) of propylene carbonate was studied using a variable volume view cell for the regions applicable to supercritical fluid chromatography (SFC) and extraction (SFE). Type 5 phase behavior was observed. Phase separation was shown to significantly alter retention and selectivity in the analysis of coal extracts by capillary SFC. Propylene carbonate was found to have limited use as a modifier in capillary SFC. With 5.1 mol% propylene carbonate at 60°C, a single phase is maintained only at pressures above 250 atm. Twenty‐two methods used to estimate critical pressure (P c ), twenty‐seven methods used to estimate critical temperature (T c ), and thirty methods used to estimate critical volume (V c ) were evaluated for various modifiers employed in supercritical fluid chromatography (SFC). None of the methods could predict P c , T c , or V c to within a 5% relative error for all of the modifiers tested. However, several of the methods were successful in predicting P c , T c , or V c to within 5% for select chemical classes of compounds. Four methods used to estimate the vapor‐liquid critical loci of binary mixtures not only failed to accurately predict vapor‐liquid separation, but failed to predict the type of phase separation occurring. None of the above methods could reliably estimate the critrical parameters of propylene carbonate or the critical parameters of the mixture.
ChemInform Abstract: SYNTHESIS, PHYSICOCHEMICAL AND ANTIMICROBIAL PROPERTIES OF 3‐(3‐(2‐(ALKYLAMINO)ETHYL)‐2‐OXO‐1‐IMIDAZOLIDINYL)‐1‐PROPANESULFONIC ACIDS (1985)

Abstract Die aus den Alkoholen (I) über die Alkylbromide (II) und deren Umsetzung mit Diethylendiamin (III) erhaltenen Triamine (IV) cyclisieren mit Harnstoff (V) zu β‐Alkylaminoethylimidazolidinonen (VI).
Gold Glyconanoparticles as New Tools in Antiadhesive Therapy (2004)

Gold glyconanoparticles (GNPs) have been prepared as new multivalent tools that mimic glycosphingolipids on the cell surface. GNPs are highly soluble under physiological conditions, stable against enzymatic degradation and nontoxic. Thereby GNPs open up a novel promising multivalent platform for biological applications. It has recently been demonstrated that specific tumor-associated carbohydrate antigens (glycosphingolipids and glycoproteins) are involved in the initial step of tumor spreading. A mouse melanoma model was selected to test glyconanoparticles as possible inhibitors of experimental lung metastasis. A carbohydrate-carbohydrate interaction is proposed as the first recognition step for this process. Glyconanoparticles presenting lactose (lacto-GNPs) have been used successfully to significantly reduce the progression of experimental metastasis. This result shows for the first time a clear biological effect of lacto-GNPs, demonstrating the potential application of this glyconanotechnology in biological processes.
Recommended Practice (2012)

PACEsetterS: July 2012 - Volume 9 - Issue 3 - p 26-28 doi: 10.1097/01.JBI.0000419755.89338.4b
Interdigitated multipixel arrays for the fabrication of high-power light-emitting diodes with very low series resistances (2006)

We report on the fabrication of high-power light-emitting diodes (LEDs) with very low series resistance by employing a mask design consisting of interdigitated multipixel arrays. The reduction in the series resistance was mainly achieved by reducing the bulk n resistance and the n-contact resistance by increasing the effective perimeter of the mesa. The small separation of the p and n contacts of the individual pixel improved lateral current spreading. The distributed array of pixels also resulted in improved thermal management, effectively rendering high continuous-wave (cw) drive current operation. Significant improvement in electrical and optical performances was observed when the mask was applied to a 400nm InGaN∕GaN violet LED wafer, compared to a standard square-shaped LED with equal active area and fabricated from the same epitaxial wafer. Series resistance of less than 1Ω was measured for 300μm devices. A peak output power of 115mW was obtained at 3.15A cw drive current for the unpackaged device.
Non-reciprocal and topological photonics based on optical pumping (2020)

In this talk, we present our latest research progress in the area of non-reciprocal and topological photonics based on nonlinearities and external pumping with optical fields. We show that it is possible to largely break reciprocity and induce Faraday rotation, non-reciprocal polarization conversion, non-reciprocal phase shifts, isolation and circulation by externally pumping suitably designed nonlinear optical resonators. Realistic implementations based on silicon photonic ring resonators and optomechanical systems will be presented and discussed, with a vision for practical realizations in the context of quantum photonics and computing.