gebhart/patrepeval huggingface dataset:
Multiagent framework for lean manufacturing (1999)

We have developed the manufacturing agent-based emulation system as an open framework for design and analysis of discrete manufacturing systems. MABES currently supports the transition from traditional to lean manufacturing in two major functions: analysis of alternative agent-based scheduling and control approaches that can be implemented across the extended enterprise; and real-time collaboration of design teams during manufacturing line design and analysis stages. MABES bases its support for these functions on two system paradigms: distributed agents and synchronous collaboration.
New Method for Monitoring the Reaction of Glass-Ionomer Cements: A Spectroscopic Study of the Effects of Polyacid Structure on the Decomposition of Calcium Aluminosilicate Glasses (1999)

A method has been developed that permits monitoring of the reaction of basic glass powders with various polyacids during the formation of glass-ionomer dental cements. Decomposition of the calcium aluminosilicate glass is followed via laser-induced emission signals from trace elements introduced into the powder with the aluminum oxide component or from imperfections in the glass matrix. The method that is reported is significantly easier than previously reported methods and does not require the reaction to be quenched. The change in the intensity of the emission bands was correlated with the extent of branching in the side chains of seven polyacids, indicating that the structure of the polyacid affects the rate of decomposition of the glass powders. The polyacids with longer side chains and more branching extract metal ions from the glass powder more efficiently than the conventional polyacids that have reactive carboxylic groups attached uniformly and directly on the polymer backbone.
Optimizing layered communication protocols (2002)

Layering of communication protocols offers many well-known advantages but typically leads to performance inefficiencies. We present a model for layering, and point out where the performance problems occur in stacks of layers using this model. We then investigate the common execution paths in these stacks and how to identify them. These paths are optimized using three techniques: optimizing the computation, compressing protocol headers, and delaying processing. All of the optimizations can be automated in a compiler with the help of minor annotations by the protocol designer. We describe the performance that we obtain after implementing the optimizations by hand on a full-scale system.
Shape-based ct lung nodule segmentation using five-dimensional mean shift clustering and MEM with shape information (2009)

This paper presents a joint spatial-intensity-shape (JSIS) feature-based method for the segmentation of CT lung nodules. First, a volumetric shape index (SI) feature based on the second-order partial derivatives of the CT image is calculated. Next, the SI feature is combined with spatial and intensity features to form a five-dimensional feature vectors, which are then clustered using mean shift to produce intensity and shape mode maps. Finally, a modified expectation-maximization (MEM) algorithm is applied on the mean shift intensity mode map to merge the neighboring modes with spatial and shape mode maps as priors. The proposed method has been evaluated on a clinical dataset of thoracic CT scans that contains 80 nodules. A volume overlap ratio between each segmented nodule and the ground truth annotation is calculated. Using the proposed method, the mean overlap ratio over all the nodules is 0.81 with standard deviation of 0.05. Most of the nodules, including challenging juxta-vascular and juxta-pleural nodules, can be properly separated from adjoining tissues.
Drugging Sphingosine Kinases (2014)

The transfer of the gamma phosphate from ATP to sphingosine (Sph) to generate a small signaling molecule, sphingosine 1-phosphate (S1P), is catalyzed by sphingosine kinases (SphK), which exist as two isoforms, SphK1 and SphK2. SphK is a key regulator of S1P and the S1P:Sph/ceramide ratio. Increases in S1P levels have been linked to diseases including sickle cell disease, cancer, and fibrosis. Therefore, SphKs are potential targets for drug discovery. However, the current chemical biology toolkit needed to validate these enzymes as drug targets is inadequate. With this review, we survey in vivo active SphK inhibitors and highlight the need for developing more potent and selective inhibitors.
Solid Freeform Fabrication of Aqueous Alumina–Poly(vinyl alcohol) Gelcasting Suspensions (2000)

Solid freeform fabrication of aqueous alumina–poly(vinyl alcohol) (Al 2 O 3 –PVA) gel‐casting suspensions was conducted using a computer‐controlled extrusion apparatus fitted with a two‐nozzle delivery system. The impact of casting parameters on the shear rate profiles experienced during deposition was evaluated via conventional flow analysis and computer simulations. In addition, the influence of these parameters on line resolution/uniformity, printability, and as‐cast component properties was studied using laser profilometry, optical microscopy, and scanning electron microscopy. Continuous printablity was achieved for tip diameters ranging from 0.254 to 1.370 mm for all mixing rates and suspension compositions studied. Printed lines were uniform with good edge definition, and line dimensions were independent of mixing rate for these process conditions. The Al 2 O 3 volume fraction (φ Al2 O3 ) in the as‐deposited layers depended on casting conditions and cross‐linking agent concentration, where (φ Al2 O3 increased with decreased tip diameter and increased cross‐linking agent concentration. The free‐formed Al 2 O 3 components exhibited uniform particle packing, with minimal macrodefects (e.g., slumping or staircasing) and no discernable microdefects (e.g., bubbles or cracking).
Identification and development of specific inhibitors for insulin-regulated aminopeptidase as a new class of cognitive enhancers (2011)

Two structurally distinct peptides, angiotensin IV and LVV-haemorphin 7, both competitive high-affinity inhibitors of insulin-regulated aminopeptidase (IRAP), were found to enhance aversion-associated and spatial memory in normal rats and to improve performance in a number of memory tasks in rat deficits models. These findings provide compelling support for the development of specific, high-affinity inhibitors of the enzyme as new cognitive enhancing agents. Different classes of IRAP inhibitors have been developed including peptidomimetics and small molecular weight compounds identified through in silico screening with a homology model of the catalytic domain of IRAP. The proof of principal that inhibition of IRAP activity results in facilitation of memory has been obtained by the demonstration that the small-molecule IRAP inhibitors also exhibit memory-enhancing properties.
Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor (2021)

The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy intermediate-scale quantum (NISQ) computing, systematic miscalibrations, drift, and crosstalk in the control of qubits can lead to a coherent form of error that has no classical analog. Coherent errors severely limit the performance of quantum algorithms in an unpredictable manner, and mitigating their impact is necessary for realizing reliable quantum computations. Moreover, the average error rates measured by randomized benchmarking and related protocols are not sensitive to the full impact of coherent errors and therefore do not reliably predict the global performance of quantum algorithms, leaving us unprepared to validate the accuracy of future large-scale quantum computations. Randomized compiling is a protocol designed to overcome these performance limitations by converting coherent errors into stochastic noise, dramatically reducing unpredictable errors in quantum algorithms and enabling accurate predictions of algorithmic performance from error rates measured via cycle benchmarking. In this work, we demonstrate significant performance gains under randomized compiling for the four-qubit quantum Fourier transform algorithm and for random circuits of variable depth on a superconducting quantum processor. Additionally, we accurately predict algorithm performance using experimentally measured error rates. Our results demonstrate that randomized compiling can be utilized to leverage and predict the capabilities of modern-day noisy quantum processors, paving the way forward for scalable quantum computing.
Abstract 1968: Systematic validation of microRNA based prognostic biomarkers for stage II, III and IV colorectal cancer (2016)

Abstract microRNA (miRNA) based biomarkers have great potential due to their critical regulatory functions, superior stability, and relative small number compared to mRNAs. We have previously discovered a number of miRNAs that play key roles in colon cancer stem cell resistance and demonstrated their clinical potential as prognostic biomarkers. In this study, we have validated the prognostic potential of a panel of miRNAs in 204 stage II, III, and IV colorectal cancer specimens by qRT-PCR analysis. Many of the miRNAs have been functionally validated to be important in contributing to chemoresistance to 5-FU based chemotherapy. We also determined that miR-16 is the most consistent miRNA for expression normalization. We have validated several miRNAs that are significantly associated with disease free survival (DFS) and overall survival (OS) of stage II, III and IV colorectal cancer patients. This study, together with some of the previous studies, establishes a solid foundation for miRNA based precision management of colorectal cancer. Citation Format: Dongling Ma, Yaqi Xue, Andrew Fesler, Haiyan Zhai, Jie Yang, Apisri Ieamniramit, Wenzhe Li, Jingfang Ju. Systematic validation of microRNA based prognostic biomarkers for stage II, III and IV colorectal cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1968.
Carboxysomes: metabolic modules for CO2 fixation (2017)

The carboxysome is a bacterial microcompartment encapsulating the enzymes carbonic anhydrase and ribulose-1,5-bisphosphate carboxylase/oxygenase. As the site of CO2 fixation, it serves an essential role in the carbon dioxide concentrating mechanism of many chemoautotrophs and all cyanobacteria. Carboxysomes and other bacterial microcompartments self-assemble through specific protein-protein interactions that are typically mediated by conserved protein domains. In this review, we frame our current understanding of carboxysomes in the context of their component protein domains with their inherent function as the 'building blocks' of carboxysomes. These building blocks are organized in genetic modules (conserved chromosomal loci) that encode for carboxysomes and ancillary proteins essential for the integration of the organelle with the rest of cellular metabolism. This conceptual framework provides the foundation for 'plug-and-play' engineering of carboxysomes as CO2 fixation modules in a variety of biotechnological applications.
Interactive shape acquisition using marker attached laser projector (2004)

A 3D shape acquisition system consisting of a laser projector and a video camera is described. A user projects a stripe of light to the measured 3D scene by hand. The projected light and LED markers attached to the laser projector are captured with the video camera. By estimating the 3D pose of the laser projector from the 2D locations of the markers, the distance to the surface lit by the laser can be calculated. The use of a laser projector that projects a stripe of light enables correction of shape estimation errors from known 3D surfaces. With this system, the user can measure the 3D shapes of objects in real time, thereby confirming the shape acquisition of each part of the surface.
Excited-State Energy Flow in Covalently Linked Multiporphyrin Arrays:  The Essential Contribution of Energy Transfer between Nonadjacent Chromophores (2004)

A series of multiporphyrin arrays has been studied to probe the contribution of energy transfer between second-neighbor (“nonadjacent”) porphyrins and to determine the rate of energy transfer between identical porphyrins at adjacent sites. The arrays, organized in linear or branched architectures, contain up to 21 constituents, domains of 2−5 zinc porphyrins, and a single energy trap. The study has involved iterative cycles of molecular design, synthesis, determination of rates via transient absorption spectroscopy, and kinetic analysis. A rate constant of (30 ± 10 ps)-1 is deduced for bidirectional energy transfer between adjacent zinc porphyrins joined by a diphenylethyne linker. The value is (50 ± 10 ps)-1 when the porphyrin-linker internal rotation is hindered by o,o‘-methyl groups on one aryl ring of the linker. Rates of nonadjacent energy transfers are typically only 5−10-fold less than the rates of adjacent transfers. Thus, the nonadjacent pathway has a significant impact on the overall rate of energy flow to the trap, even in architectures as small as triads. These findings provide information that will be essential for the rational design of multichromophore arrays whose function is to transfer excitation energy efficiently over large distances to a trap site.
Intelligent Visual-IoT-Enabled Real-Time 3D Visualization for Autonomous Crowd Management (2021)

Real-time crowd management systems play an important role in urban planning, disaster warning, and emergency evacuation. For example, through closed-circuit television (CCTV) cameras and artificial intelligence (AI) algorithms, crowd counting and abnormal event recognition can be realized. However, most of these applications are limited within the 2D coordinate system of each single camera, lacking a unified understanding of the 3D world as a whole. In addition, overly simple functionalities, such as framing certain areas or displaying text, limit the system intelligence and user experience. This article proposes a solution of realtime 3D visualization of outdoor scenes enabled by AI and the Visual Internet of Things (V-IoT). First, fixed and airborne cameras, infrared cameras, LiDAR, gas sensors, and so on are deployed to collect multi-modal data and send them to the clouds. Then AI algorithms are executed in the clouds to calculate the location of people, vehicles, and other moving objects, and to detect fights, stampedes, fire, or other abnormal events. Finally, the clouds send the AI algorithm results to the visualization system in terminal devices. The system displays the scene in real time through 3D animation and charts, and provides user interaction interfaces and simulation functionalities in a gamification environment. Experiments show that the proposed solution realistically visualizes the real world to sup-nort the user's decision.
Direct Bandgap Transition in Many‐Layer MoS<sub>2</sub> by Plasma‐Induced Layer Decoupling (2015)

We report a robust method for engineering the optoelectronic properties of many-layer MoS2 using low-energy oxygen plasma treatment. Gas phase treatment of MoS2 with oxygen radicals generated in an upstream N2 -O2 plasma is shown to enhance the photoluminescence (PL) of many-layer, mechanically exfoliated MoS2 flakes by up to 20 times, without reducing the layer thickness of the material. A blueshift in the PL spectra and narrowing of linewidth are consistent with a transition of MoS2 from indirect to direct bandgap material. Atomic force microscopy and Raman spectra reveal that the flake thickness actually increases as a result of the plasma treatment, indicating an increase in the interlayer separation in MoS2 . Ab initio calculations reveal that the increased interlayer separation is sufficient to decouple the electronic states in individual layers, leading to a transition from an indirect to direct gap semiconductor. With optimized plasma treatment parameters, we observed enhanced PL signals for 32 out of 35 many-layer MoS2 flakes (2-15 layers) tested, indicating that this method is robust and scalable. Monolayer MoS2 , while direct bandgap, has a small optical density, which limits its potential use in practical devices. The results presented here provide a material with the direct bandgap of monolayer MoS2 , without reducing sample thickness, and hence optical density.
Sizing Increases Fiber/Matrix Adhesion (1988)

Strengths of graphite fiber/polycarbonate matrix composites increased by precoating fibers with thin layer of polycarbonate. Flexural strengths of composite samples measured to determine effects of different fabrication conditions.
Silicon Phthalocyanine-Siloxane Polymers: Synthesis and <sup>1</sup>H Nuclear Magnetic Resonance Study (1978)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSilicon Phthalocyanine-Siloxane Polymers: Synthesis and 1H Nuclear Magnetic Resonance StudyJohn B. Davison and Kenneth J. WynneCite this: Macromolecules 1978, 11, 1, 186–191Publication Date (Print):January 1, 1978Publication History Published online1 May 2002Published inissue 1 January 1978https://doi.org/10.1021/ma60061a033RIGHTS & PERMISSIONSArticle Views566Altmetric-Citations48LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (811 KB) Get e-Alerts Get e-Alerts
Human T-Cell Lymphotropic Virus Type III (HTLV-III) Core Antigens: Synthesis in <i>Escherichia coli</i> and Immunoreactivity with Human Sera (1986)

Fragments of human T-cell lymphotropic virus type III (HTLV-III) proviral DNA carrying the gene for the core antigen (gag) was cloned in the plasmid REV. Several of the recombinants direct high levels of synthesis of the antigens. One clone, pG1, produced a hybrid protein containing 13 amino acid residues of the carboxyl terminus of the 17 kD virion protein, the entire p24, the major core protein of HTLV-III, and 74 amino acid residues of the amino terminal of the 15 kD core ribonucleoprotein. A second clone, pG2, was similar to pG1 except that it contained no p17 sequences and was missing the amino-terminal 77 amino acid residues of the p24. A third clone, pG3, was similar to pG2, except that all but 56 amino acids of the carboxyl terminus of p24 were removed. All three proteins were found to be strongly immunoreactive with anti-HTLV-III antibodies present in sera from patients with acquired immune deficiency syndrome (AIDS) or AIDS-related complex (ARC). In addition, pG1 and pG2, but not pG3, reacted with a monoclonal antibody (M26) specific for the p24 virion core protein. Whereas all three reacted with an anti-p15 monoclonal antibody, none of the clones reacted with an anti-p17 monoclonal antibody. These results provide direct evidence to support the predicted assignment of the coding region of the gag gene of HTLV-III. The product from pG2 was purified and was found to be potentially useful for the detection of anti-p24 antibodies in sera from patients with AIDS or ARC and from individuals at risk from AIDS.
The efficacy of automated/electrical twitch obtaining intramuscular stimulation (atoims/etoims) for chronic pain control: evaluation with statistical process control methods. (2003)

Patients will chronically record their pain scales daily enabling analysis by SPC. ATOIMS & ETOIMS applied periodically can be helpful in relieving fibromyalgic pain.
Interplay between ethylene, ETP1/ETP2 F-box proteins, and degradation of EIN2 triggers ethylene responses in <i>Arabidopsis</i> (2009)

The gaseous plant hormone ethylene can trigger myriad physiological and morphological responses in plants. While many ethylene signaling pathway components have been identified and characterized, little is known about the function of the integral membrane protein ETHYLENE-INSENSITIVE2 (EIN2), a central regulator of all ethylene responses. Here, we demonstrate that Arabidopsis thaliana EIN2 is a protein with a short half-life that undergoes rapid proteasome-mediated protein turnover. Moreover, EIN2 protein accumulation is positively regulated by ethylene. We identified two F-box proteins, EIN2 TARGETING PROTEIN1 (ETP1) and EIN2 TARGETING PROTEIN2 (ETP2), that interact with the EIN2 C-terminal domain (EIN2-CEND), which is highly conserved and sufficient to activate most ethylene responses. Overexpression of ETP1 or ETP2 disrupts EIN2 protein accumulation, and these plants manifest a strong ethylene-insensitive phenotype. Furthermore, knocking down the levels of both ETP1 and ETP2 mRNAs using an artificial microRNA (amiRNA) leads to accumulation of EIN2 protein, resulting in plants that display constitutive ethylene response phenotypes. Finally, ethylene down-regulates ETP1 and ETP2 proteins, impairing their ability to interact with EIN2. Thus, these studies reveal that a complex interplay between ethylene, the regulation of ETP1/ETP2 F-box proteins, and subsequent targeting and degradation of EIN2 is essential for triggering ethylene responses in plants.
A Novel Resonant Metallo-Dielectric Structure for Design of High Performance ε-μ Meta-Materials (2005)

The paper addresses a magneto-dielectric (/spl epsiv/-/spl mu/) meta-material with improved material properties. To accomplish this, a meta-material with a periodic configuration constructed of small metallo-dielectric transmission-line resonators is proposed. At resonance, the metallo-dielectric inclusions are equivalent to parallel LC circuits magnetically coupled to a transmission line model of the medium. It is demonstrated that the permeability of the proposed structure has a relatively larger bandwidth compared to the conventional resonant loop circuit design. A larger quality factor (Q) and smaller loss tangent for the new design is predicted.
Chitosan Films: A Potential Local Drug Delivery System for Antibiotics (2008)

Local antibiotic delivery is an emerging area of study designed to provide alternative methods of treatment to clinicians for compromised wound sites where avascular zones can prevent the delivery of antibiotics to the infected tissue. Antibiotic-loaded bone cement is the gold standard for drug-eluting local delivery devices but is not ideal because it requires a removal surgery. Chitosan is a biocompatible, biodegradable polymer that has been used in several different drug delivery applications. We evaluated chitosan as a potential localized drug delivery device. We specifically determined if chitosan could elute antibiotics in an active form that would be efficacious in inhibiting S. aureus growth. Elution of amikacin was 24.67 +/- 2.35 microg/mL (85.68%) after 1 hour with a final cumulative release of 27.31 +/- 2.86 microg/mL (96.23%) after 72 hours. Elution of daptomycin was 10.17 +/- 3.83 microg/mL after 1 hour (31.61% release) and 28.72 +/- 6.80 microg/mL after 72 hours (88.55%). The data from the elution study suggested effective release of amikacin and daptomycin. The activity studies indicated the eluants inhibited the growth of S. aureus. Incorporating antibiotics in chitosan could provide alternative methods of treating musculoskeletal infections.