gebhart/patrepeval huggingface dataset:
Tensile Properties and Fracture Behavior of Aluminum Alloy Foam Fabricated from Die Castings without Using Blowing Agent by Friction Stir Processing Route (2014)

Al foam has been used in a wide range of applications owing to its light weight, high energy absorption and high sound insulation. One of the promising processes for fabricating Al foam involves the use of a foamable precursor. In this study, ADC12 Al foams with porosities of 67%-78% were fabricated from Al alloy die castings without using a blowing agent by the friction stir processing route. The pore structure and tensile properties of the ADC12 foams were investigated and compared with those of commercially available ALPORAS. From X-ray computed tomography (X-ray CT) observations of the pore structure of ADC12 foams, it was found that they have smaller pores with a narrower distribution than those in ALPORAS. Tensile tests on the ADC12 foams indicated that as their porosity increased, the tensile strength and tensile strain decreased, with strong relation between the porosity, tensile strength, and tensile strain. ADC12 foams exhibited brittle fracture, whereas ALPORAS exhibited ductile fracture, which is due to the nature of the Al alloy used as the base material of the foams. By image-based finite element (FE) analysis using X-ray CT images corresponding to the tensile tests on ADC12 foams, it was shown that the fracture path of ADC12 foams observed in tensile tests and the regions of high stress obtained from FE analysis correspond to each other. Therefore, it is considered that the fracture behavior of ADC12 foams in relation to their pore structure distribution can be investigated by image-based FE analysis.
DeepTrust^RT: Confidential Deep Neural Inference Meets Real-Time! (2024)

Deep Neural Networks (DNNs) are becoming common in "learning-enabled" time-critical applications such as autonomous driving and robotics. One approach to protect DNN inference from adversarial actions and preserve model privacy/confidentiality is to execute them within trusted enclaves available in modern processors. However, running DNN inference inside limited-capacity enclaves while ensuring timing guarantees is challenging due to (a) large size of DNN workloads and (b) extra switching between "normal" and "trusted" execution modes. This paper introduces new time-aware scheduling schemes - DeepTrust^RT - to securely execute deep neural inferences for learning-enabled real-time systems. We first propose a variant of EDF (called DeepTrust^RT-LW) that slices each DNN layer and runs them sequentially in the enclave. However, due to extra context switch overheads of individual layer slices, we further introduce a novel layer fusion technique (named DeepTrust^RT-FUSION). Our proposed scheme provides hard real-time guarantees by fusing multiple layers of DNN workload from multiple tasks; thus allowing them to fit and run concurrently within the enclaves while maintaining real-time guarantees. We implemented and tested DeepTrust^RT ideas on the Raspberry Pi platform running OP-TEE+DarkNet-TZ DNN APIs and three DNN workloads (AlexNet-squeezed, Tiny Darknet, YOLOv3-tiny). Compared to the layer-wise partitioning approach (DeepTrust^RT-LW), DeepTrust^RT-FUSION can schedule up to 3x more tasksets and reduce context switches by up to 11.12x. We further demonstrate the efficacy of DeepTrust^RT using a flight controller (ArduPilot) case study and find that DeepTrust^RT-FUSION retains real-time guarantees where DeepTrust^RT-LW becomes unschedulable.
On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging : Invited Presentation (2019)

Recently, many pulse-echo ultrasound (US) imaging methods have relied on the transmission of unfocused wavefronts. Such a strategy allows for very high frame rates at the cost of a degraded image quality. In this work, we present a regularized inverse problem approach and a highly efficient modeling of the physical measurement process to reconstruct high-quality US images from unfocused wavefronts. We compare it against a deep neural network (DNN) approach on the plane wave imaging challenge in medical ultrasound (PICMUS) and show that the use of carefully designed and trained DNN can overcome the limitations of standard image processing priors, which fail at capturing the very specific nature of US images accurately.
Aktuelle Aspekte der Cholesteatomchirurgie – Teil 1: Grundlagen und Diagnostik (2019)

Cholesteatoma is a chronic inflammation of the middle ear, which leads to a progressive bony destruction of the petrous bone. Main symptoms are fetid otorrhea, hearing loss and dizziness. Left untreated, cholesteatoma may be fatal due to intracranial complications. The following overview is intended to illustrate the current and generally recognized knowledge of genesesi, clinical symptoms und preoperative diagnostical procedure. Surgical therapie will be focussed in a second part.
Identification and characterization of simple sequence repeat markers from Brassica napus expressed sequences (2007)

Abstract The availability of expressed sequence data derived from gene discovery programs enables mining for simple sequence repeats (SSR), providing useful genetic markers for crop improvement. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study presents the development and characterization of 24 expressed sequence tags (EST)‐SSR markers from Brassica napus and their cross‐amplification across Brassica species. The markers show reliable amplification, genome specificity and considerable polymorphism, demonstrating the utility of EST‐SSRs for genetic analysis of wild Brassica populations and commercial Brassica germplasm.
Optimal Multicast Service Chain Control: Packet Processing, Routing, and Duplication (2022)

Distributed computing (cloud) networks, e.g., mobile edge computing (MEC), are playing an increasingly important role in the efficient hosting, running, and delivery of real-time stream-processing applications such as industrial automation, immersive video, and augmented reality. While such applications require timely processing of real-time streams that are simultaneously useful for multiple users/devices, existing technologies lack efficient mechanisms to handle their increasingly multicast nature, leading to unnecessary traffic redundancy and associated network congestion. In this paper, we address the design of distributed packet processing, routing, and duplication policies for optimal control of multicast stream-processing services. We present a characterization of the enlarged capacity region that results from efficient packet duplication, and design the first fully distributed multicast traffic management policy that stabilizes any input rate in the interior of the capacity region while minimizing overall operational cost. Numerical results demonstrate the effectiveness of the proposed policy to achieve throughput- and cost-optimal delivery of stream-processing services over distributed computing networks.
Less watts, more performance (2013)

In this demonstration, we present Ibex, a novel storage engine featuring hybrid, FPGA-accelerated query processing. In Ibex, an FPGA is inserted along the path between the storage devices and the database engine. The FPGA acts as an intelligent storage engine supporting query off-loading from the query engine. Apart from significant performance improvements for many common SQL queries, the demo will show how Ibex reduces data movement, CPU usage, and overall energy consumption in database appliances.
Immunoassay for HIV Drug Metabolites Tenofovir and Tenofovir Diphosphate (2020)

Poor patient adherence to antiretroviral medication represents a major obstacle for managing disease and reducing rates of new HIV infections. The measurement of patient drug levels is the most objective method of determining adherence. Tenofovir and tenofovir diphosphate are metabolites of some of the most common HIV medications for treatment and prevention and can be quantified by mass spectrometry. Here, we report the development of a competitive enzyme linked immunoassay as a simplified approach for detecting tenofovir and tenofovir diphosphate. Monoclonal antibodies were produced by two tenofovir-hapten conjugates and screened for binding to immobilized tenofovir, and then for competition by tenofovir and tenofovir diphosphate. Antibody specificity was evaluated against adenosine phosphates, which are close structural analogs. We performed numerical simulations of reaction equilibrium to guide assay optimization. When used to evaluate spiked tenofovir in plasma and spiked tenofovir diphosphate in red blood cell lysate, the optimized assay had high sensitivity and specificity.
Posttensioned Energy Dissipating Connections for Moment-Resisting Steel Frames (2002)

The seismic performance of a posttensioned energy dissipating (PTED) connection for steel frames is investigated analytically and experimentally. The PTED connection incorporates posttensioned high-strength bars to provide a self-centering response along with energy dissipating bars that are able to yield in axial tension and compression. The analytical study involves the development of an equivalent iterative sectional analysis procedure to predict the moment-rotation relationship of the PTED connection. Based on this analytical model, a simple design procedure for PTED connections is described. In the experimental study, a cyclic component test was performed on two energy dissipating bars and a cyclic test was conducted on a large-scale exterior beam-to-column PTED connection. The results of the tests show that the PTED test specimen was able to undergo large inelastic deformations without any damage in the beam or column and without residual drift. The proposed analytical model and design procedure were also validated against the experimental results.
Mixtures of Nonionic Surfactants made from Renewable Resources with Alkyl Sulfates and Sodium n‐Alkanecarboxylates: Comparison of Mixing Behavior using Rubingh's Treatment (2013)

Abstract Binary aqueous mixtures of () alkyl glucopyranosides (glycosides), () alkyl maltopyranosides (maltosides), or () alkyl N ‐methyl glucamines with (1′) sodium alkyl sulfates or (2′) sodium n ‐alkyl carboxylates were investigated in an effort to evaluate physiochemical properties for mixtures of surfactants from renewable resources. Solutions at various concentrations and mixture ratios were tested and evaluated to determine critical micelle concentrations (CMCs). The greatest reduction in CMC was found for surfactants with long and intermediate hydrophobe lengths. In agreement with other studies, an increase in hydrophilic group size and flexibility decreased the electrostatic repulsion of ionic‐nonionic mixed micelles as evidenced by a more negative Rubingh's β parameter. However, at low hydrophobe length, carboxylate and glycoside headgroup mixtures produced mixed micelle interactions displaying synergism at low nonionic surfactant mole fractions and slight antagonism at high nonionic mole fractions. The asymmetry in interaction produces an S‐shaped CMC curve and demonstrates that the one‐parameter Rubingh model is insufficient in describing both synergism and antagonism for this binary mixture.
Crystal structures of hydrates of simple inorganic salts. II. Water-rich calcium bromide and iodide hydrates: CaBr2·9H2O, CaI2·8H2O, CaI2·7H2O and CaI2·6.5H2O (2014)

Single crystals of calcium bromide enneahydrate, CaBr(2) · 9H2O, calcium iodide octahydrate, CaI(2) · 8H2O, calcium iodide heptahydrate, CaI(2) · 7H2O, and calcium iodide 6.5-hydrate, CaI(2) · 6.5H2O, were grown from their aqueous solutions at and below room temperature according to the solid-liquid phase diagram. The crystal structure of CaI(2) · 6.5H2O was redetermined. All four structures are built up from distorted Ca(H2O)8 antiprisms. The antiprisms of the iodide hydrate structures are connected either via trigonal-plane-sharing or edge-sharing, forming dimeric units. The antiprisms in calcium bromide enneahydrate are monomeric.
On measuring available bandwidth in wireless networks (2008)

BART is a state-of-the-art active end-to-end bandwidth measurement method that estimates not only the available bandwidth but also the link capacity of the bottleneck link. It uses a Kalman filter to give estimates in real time during a measurement session. In this paper, we have studied the impact of 802.11 networks on the bandwidth estimates produced by BART. The Kalman filter used by BART is tunable, and one of the contributions of this paper is to show how the Kalman filter should be adjusted to improve real-time tracking and estimation accuracy when the bottleneck is an 802.11 link. Further, the paper contributes by discussing how to interpret the estimates produced by BART and similar bandwidth estimation tools relying on self-induced congestion when used in wireless scenarios. An analysis show that the BART estimates produced are correct - but corresponds to a fair share of the wireless link rather than to the unused capacity. However, the estimates do indicate how much bandwidth an application or device in the wireless network can expect when sending and/or receiving network traffic.
Immunosuppressed Miniswine as a Model for Testing Cell Therapy Success: Experience With Implants of Human Salivary Stem/Progenitor Cell Constructs (2021)

An urgent need exists to develop large animal models for preclinical testing of new cell therapies designed to replace lost or damaged tissues. Patients receiving irradiation for treatment of head and neck cancers frequently develop xerostomia/dry mouth, a condition that could one day be treated by cell therapy to repopulate functional saliva-producing cells. Using immunosuppression protocols developed for patients receiving whole face transplants, we successfully used immunosuppressed miniswine as a suitable host animal to evaluate the long-term stability, biocompatibility, and fate of matrix-modified hyaluronate (HA) hydrogel/bioscaffold materials containing encapsulated salivary human stem/progenitor cells (hS/PCs). An initial biocompatibility test was conducted in parotids of untreated miniswine. Subsequent experiments using hS/PC-laden hydrogels were performed in animals, beginning an immunosuppression regimen on the day of surgery. Implant sites included the kidney capsule for viability testing and the parotid gland for biointegration time periods up to eight weeks. No transplant rejection was seen in any animal assessed by analysis of the tissues near the site of the implants. First-generation implants containing only cells in hydrogel proved difficult to handle in the surgical suite and were modified to adhere to a porcine small intestinal submucosa (SIS) membrane for improved handling and could be delivered through the da Vinci surgical system. Several different surgical techniques were assessed using the second-generation 3D-salivary tissue (3D-ST) for ease and stability both on the kidney capsule and in the capsule-less parotid gland. For the kidney, sliding the implant under the capsule membrane and quick stitching proved superior to other methods. For the parotid gland, creation of a tissue "pocket" for placement and immediate multilayer tissue closure were well tolerated with minimal tissue damage. Surgical clips were placed as fiduciary markers for tissue harvest. Some implant experiments were conducted with miniswine 90 days post-irradiation when salivation decreased significantly. Sufficient parotid tissue remained to allow implant placement, and animals tolerated immunosuppression. In all experiments, viability of implanted hS/PCs was high with clear signs of both vascular and nervous system integration in the parotid implants. We thus conclude that the immunosuppressed miniswine is a high-value emerging model for testing human implants prior to first-in-human trials.
Microcomputer Software Evaluation and Selection Strategies (1989)

With increasing numbers of top managers using decision support software packages for highlevel decision-making, the lack of organization-wide software evaluation and selection strategies can be costly and detrimental to an organization’s economic and competitive health. The management of an organization should, therefore, provide leadership and support for the development of such strategies. This research takes an important step in that direction by offering a set of guidelines that the management of an organization can follow in providing such a leadership role. A number of points essential to any formal consideration of software to be used in microcomputers or networks are also considered. Organizations interested in an accurate evaluation and selection of appropriate software should carefully consider the guidelines provided.Request access from your librarian to read this article's full text.
Suppression of Bladder Overactivity by Adenosine A2A Receptor Antagonist in a Rat Model of Parkinson Disease (2012)

Results indicate that the adenosine A2A receptor mediated excitatory mechanism is enhanced at a supraspinal site to induce bladder overactivity and A2A receptor inhibition effectively suppresses bladder overactivity in rats with Parkinson disease. Thus, adenosine A2A receptor antagonists could be useful for bladder dysfunction in Parkinson disease cases.
The MMTV/c-myc transgene and p53 null alleles collaborate to induce T-cell lymphomas, but not mammary carcinomas in transgenic mice. (1995)

A number of properties of the cancer-related genes c-myc and p53 suggest that they might collaborate to induce tumorigenesis. To test this notion, we produced doubly heterozygotic mice bearing disrupted p53 alleles and a fusion transgene consisting of the mouse mammary tumor virus (MMTV) LTR and the oncogene c-myc. Mice bearing both the MMT/c-myc transgene and a single p53- allele develop very aggressive pre-T- and T-cell lymphomas with a significantly shorter latency than mice carrying either the p53- allele or the c-myc transgene alone. Moreover, every lymphoma occurring in these animals has lost or suffers an inactivation of its wild type p53 allele indicating that loss of p53 activity is necessary for this c-myc-accelerated lymphomagenesis. Nonetheless, p53 inactivation and expression of the MMTV/c-myc transgene are not sufficient for lymphoid transformation. Tumors that arise in homozygous p53- mice carrying the c-myc transgene are monoclonal, suggesting that at least one additional event is necessary for their transformation. Moreover, since mice bearing only the MMTV/c-myc transgene predominantly develop mammary carcinomas, it was surprising that the p53- allele failed to accelerate the incidence of mammary carcinomas. Further, in contrast to the lymphomas, only one in four mammary tumors that arose in the double heterozygotic mice had lost its wild type p53 allele. Apparently cell context influences the ability of c-myc and p53- to cooperate in inducing oncogenesis.
Organic Pie Charts (2008)

We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex data analysis techniques as it builds on the well known concept of pie charts. The non-linear projection capabilities of Emergent Self-Organizing Maps (ESOM) are used to generate a topology-preserving ordering of the data points on a circle. The distance structure within the high dimensional space is visualized on the circle analogously to the U-Matrix method for two-dimensional SOM. The resulting display resembles pie charts but has an organic structure that naturally emerges from the data. Pie segments correspond to groups of similar data points. Boundaries between segments represent low density regions with larger distances among neighboring points in the high dimensional space. The representation of distances in the form of a periodic sequence of values makes time series segmentation applicable to automated clustering of the data that is in sync with the visualization. We discuss the usefulness of the method on a variety of data sets to demonstrate the applicability in applications such as document analysis or customer segmentation.
Sodium Ascorbate Kills Candida Albicans in Vitro Via Iron-Catalyzed Fenton Reaction: Importance of Oxygenation and Metabolism (2016)

Ascorbate-mediated killing of C. albicans depends on oxygenation and metabolism, involves iron-catalyzed generation of hydroxyl radicals via Fenton reaction and depletion of intracellular NADH. Ascorbate could serve as a component of a topical antifungal therapy.
Synthesis and evaluation of non-carboxylic pyridinic derivatives as cyclooxygenase inhibitors (1999)

peer reviewed
ChemInform Abstract: per‐O‐Trimethylsilyl‐α‐L‐fucopyranosyl Iodide: A Novel Glycosylating Agent for Terminal α‐L‐Fucosylation. (1996)

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.
Synthetic 3-O-Methylmannose-Containing Polysaccharides (sMMPs):  Design and Synthesis. (2007)

With the hope of mimicking the chemical and biological properties of &lt;i&gt;natural&lt;/i&gt; 3-&lt;i&gt;O&lt;/i&gt;-methylmannose-containing polysaccharides (MMPs), &lt;i&gt;synthetic&lt;/i&gt; 3-&lt;i&gt;O&lt;/i&gt;-methylmannose-containing polysaccharides (&lt;i&gt;s&lt;/i&gt;MMPs)\nwere designed and synthesized in a convergent manner. With little modification of the Mukaiyama\nglycosidation, high α-selectivity (&gt;50:1∼&gt;20:1) and yields (79∼74%) were achieved for the key\nglycosidation steps. The exceptionally high α-selectivity observed was shown to be consequent to the\nselective anomerization of β- to α-anomer under the glycosidation conditions. This glycosidation is well\nsuited for a highly convergent oligosaccharide synthesis, particularly because of excellent chemical yields\neven when using approximately equal-sized donors and acceptors in an approximately 1:1 molar ratio.\nAn iterative reaction sequence allowed the growing oligosaccharide to double in size after each cycle\nand led to an efficient synthesis of &lt;i&gt;s&lt;/i&gt;MMP 8-, 12-, and 16-mers &lt;b&gt;18&lt;/b&gt;−&lt;b&gt;20&lt;/b&gt;.
Microstrip antenna design using different aperture coupling structure (2007)

The wireless industry has experienced a significant growth in the past several years. There is an essential need for a light weight with a low profile and a good performance antenna for wireless application. In order to meet these demands, printed circuit patch antenna is one of the solutions to it. There are four feedings techniques for microstrip antennas which can be categorized as contacting feed and non-contacting feed. For contacting feed, there are microstrip feed and coaxial feed while non-contacting feed are proximity feed and aperture coupled feed. However, for microstrip feed and coaxial feed, the antennas are characterized by bandwidth limitation, which is about 1-2%. To overcome this problem, aperture coupled microstrip antenna (ACMA) was introduced by researchers for the purpose to improve the antenna performance features, especially its bandwidth. Their features have met the essential needs for wireless application which requires a light weight characteristics with a low profile and a good performance antenna. The structure consists of two substrates, one containing the radiating patch and other containing the feed network. A small aperture located under the patch allows coupling of the patch to the feed line which has the form of an open-circuited stub. The input impedance can be controlled by its size, position, and shape of the aperture and open-ended stub length. In this paper, the aperture coupled microstrip antenna with different aperture shape is investigated in terms of its return loss, bandwidth and radiation pattern. Every shape gives a different performance.