gebhart/patrepeval huggingface dataset:
A Research Agenda for Enterprise Augmented Reality (2022)

Over the past decade, Augmented Reality (AR) has seen significant adoption to address diverse needs in many industries including aviation, automotive, power &#x0026; energy, oil &#x0026; gas, manufacturing, and healthcare. However, the more practitioners leverage AR, the more industrial research focuses on domain-specific challenges. In response, the Augmented Reality for Enterprise Alliance (AREA), a program of the Object Management Group (OMG), sponsored research to develop a domain-neutral and objective, data-driven research agenda for enterprise augmented reality. This paper summarizes the contributions of that effort, including (i) an automated approach for gathering and hierarchically organizing state-of-the-art research about enterprise AR, (ii) a method for identifying research gaps and opportunities, and (iii) set of promising research topics from which the IEEE VGTC community could choose for future study.
Self-ESD-protected transmission line broadband in CMOS28nm UTBB-FDSOI (2015)

Advanced CMOS Technologies, and particularly Ultra-Thin Body and BOX Fully Depleted Silicon on Insulator (UTBB-FDSOI) technology provide good performances for analog high frequency and ultra-low power applications. We present in this paper self-ESD-protected transmission lines based on two different ESD strategies. Specific ESD protections based on bidirectional SCR (bi-SCR) are directly embedded on the transmission lines.
Nonenzymatic synthesis of 5-aminoimidazole ribonucleoside and recognition of its facile rearrangement. (1988)

5-Amino-1-beta-D-ribofuranosylimidazole 5'-monophosphate (AIR, 1) is the ubiquitous precursor to the purine ribonucleotides in vivo, and it serves as the biochemical precursor to the pyrimidine portion of thiamin (vitamin B1) in certain prokaryotic organisms. The corresponding ribonucleoside (AIRs, 5b) was prepared via chemical (nonenzymatic) synthesis from 5-amino-1-beta-D-ribofuranosylimidazole-4-carboxamide. The tri-O-acetylated derivative of AIRs (5a) was also prepared, and it was shown to undergo a facile ring transformation in aqueous pH 7 buffer to afford N-(imidazol-4-yl)-2,3,5-tri-O-acetyl-D-ribofuranosylamine as a 1:2 mixture of alpha and beta anomers (6a). Under similar conditions, compound 5b affords the corresponding unprotected beta-ribonucleosides 6b. This Dimroth-type ring transformation reaction of 5 to 6, which occurs primarily in neutral aqueous solution, may be responsible for the previously reported lability of AIRs and its derivatives. It may also have relevance to the postulated early biotic pathway to the 9- and 3-substituted purine nucleotide components of an all-purine biopolymer.
Detection of deadlock potentials in multithreaded programs (2010)

Concurrent programs are well known for containing errors that are difficult to detect, reproduce, and diagnose. Deadlock is a common concurrency error, which occurs when a set of threads are blocked, due to each attempting to acquire a lock held by another. This paper presents a collection of highly scalable static and dynamic techniques for exposing potential deadlocks. The basis is a known algorithm, which, when locks are acquired in a nested fashion, captures the nesting order in a lock graph. A cycle in the graph indicates a deadlock potential. We propose three extensions to this basic algorithm to eliminate, or label as low severity, false warnings of possible deadlocks (false positives). These false positives may be due to cycles within one thread, cycles guarded by a gate lock (an enclosing lock that prevents deadlocks), and cycles involving several code fragments that cannot possibly execute in parallel. We also present a technique that combines information from multiple runs of the program into a single lock graph, to find deadlock potentials that would not be revealed by analyzing one run at a time. Finally, this paper describes the use of static analysis to automatically reduce the overhead of dynamic checking for deadlock potentials.
The essential roles of FXR in diet and age influenced metabolic changes and liver disease development: a multi-omics study (2022)

Abstract Background Aging and diet are risks for metabolic diseases. Bile acid receptor farnesoid X receptor (FXR) knockout (KO) mice develop metabolic liver diseases that progress into cancer as they age, which is accelerated by Western diet (WD) intake. The current study uncovers the molecular signatures for diet and age-linked metabolic liver disease development in an FXR-dependent manner. Methods Wild-type (WT) and FXR KO male mice, either on a healthy control diet (CD) or a WD, were euthanized at the ages of 5-, 10-, or 15-months. Hepatic transcriptomics, liver, serum, and urine metabolomics as well as microbiota were profiled. Results WD intake facilitated hepatic aging in WT mice. In an FXR-dependent manner, increased inflammation and reduced oxidative phosphorylation were the primary pathways affected by WD and aging. FXR has a role in modulating inflammation and B cell-mediated humoral immunity which was enhanced by aging. Moreover, FXR dictated neuron differentiation, muscle contraction, and cytoskeleton organization in addition to metabolism. There were 654 transcripts commonly altered by diets, ages, and FXR KO, and 76 of them were differentially expressed in human hepatocellular carcinoma (HCC) and healthy livers. Urine metabolites differentiated dietary effects in both genotypes, and serum metabolites clearly separated ages irrespective of diets. Aging and FXR KO commonly affected amino acid metabolism and TCA cycle. Moreover, FXR is essential for colonization of age-related gut microbes. Integrated analyses uncovered metabolites and bacteria linked with hepatic transcripts affected by WD intake, aging, and FXR KO as well as related to HCC patient survival. Conclusion FXR is target to prevent diet or age-associated metabolic disease. The uncovered metabolites and microbes can be diagnostic markers for metabolic disease.
Crosstalk between T Lymphocytes and Dendritic Cells (2012)

Dendritic cells (DCs) are professional antigen-presenting cells (APCs) with the unique property of inducing priming and differentiation of naïve CD4+ and CD8+ T cells into helper and cytotoxic effectors. Their efficiency is due to their unique ability to process antigen, express costimulatory molecules, secrete cytokines, and migrate to tissues or lymphoid organs to prime T cells. DCs also play an important role in T-cell peripheral tolerance. There is ample evidence that the DC ability to present antigens is regulated by CD4+ helper T cells. Indeed, interactions between surface receptors and ligands expressed respectively by T cells and DCs, as well as T-cell-derived cytokines modify DC functions. This T-cell-induced modification of DCs has been called "education" or "licensing." This intimate crosstalk between DCs and T lymphocytes is key in establishing appropriate adaptive immune responses. It requires cognate interactions between T lymphocytes and DCs, which are organized in time and space by structures called immunological synapses. Here we discuss the particular aspects of immunological synapses formed between T cells and DCs and the role these organized interactions have in T-cell-DC crosstalk.
Machine learning approaches to streamline and enhance the analysis of multiscale imaging data for bioaerosol and soil particles (2022)

Bioaerosol and soil particles are ubiquitous in the environment. They are multicomponent and complex in nature displaying mixed inorganic and organic components. The way components are mixed in a bioaerosol sample is referred to as its mixing state. Soil particles are also a mixture of inorganic (mineral) and organic (soil organic matter) components. Bioaerosol particles contribute to a major fraction of coarse mode atmospheric particles, especially in the tropical areas, contributing up to 80 % of the particle mass concentration. The mixing state of particles is crucial to evaluate because it impacts several important environmental processes such as warm and cold cloud formation and radiation budget. Mixing states in aerosols are accompanied by chemical reactions across solid-liquid-gas interfaces. In this study, we utilized elemental compositions and microcopy images of thousands of atmospheric particles acquired by computer-controlled scanning electron microscope equipped with an energy-dispersive x-ray spectrometer to compute the mixing state of atmospheric particles. A 2D convolutional neural network (CNN), also known as convnet, was used to model the relationship between low resolution imaging data and higher resolution spectroscopy data, with the former as training input and the latter as target output. Two types of CNNs were implemented and tested; a basic CNN and an Inception-v3 network. For binary classification, the basic CNN achieved an accuracy of 84.29 % across all atom types, and the Inception-v3-like network achieved an accuracy 85.51 %. This study demonstrates the applicability of deep learning to handle large amounts of imaging/chemical spectroscopy data efficiently and evaluate particle mixing state from a range of environmental samples.
Abstract 22: Crosstalk Between Phosphotidylinositol-4,5 Bisphosphonate-3 Kinase Pathway and Mitogen-Activated Protein Kinase Pathway Regulates Platelet Activation and Protein Synthesis via Phosphoinositide-Dependent Kinase-1 (2017)

Phosphoinositide-dependent protein kinase 1 (PDK1) is known to regulate PAR4 induced platelet activation and thrombus formation through GSK3β. However, whether PDK1 signaling also involves the ADP receptor and, if so, downstream functional consequences are unknown. We employed both pharmacologic (e.g. the selective PDK1 inhibitor, BX795) and genetic (platelet specific deletion of PDK1) approaches to dissect the role of PDK1 in ADP-induced platelet activation and protein synthesis. Inhibition of PDK1 with BX795 reduced 2MeSADP-induced platelet aggregation by abolishing thromboxane generation. Similar results were observed in PDK1 -/- mice (Fig A). Inhibition of PDK1 protected mice from collagen and epinephrine-induced pulmonary embolism (Fig B). PDK1 was also necessary for the phosphorylation of MEK1/2, Erk1/2 and cPLA2, indicating that PDK1 regulates an upstream kinase in MAPK pathway. We next identified that this upstream kinase is Raf1 (necessary for the phosphorylation of MEK1/2), as pharmacologic inhibition and genetic ablation of PDK1 was sufficient to prevent Raf1 phosphorylation (Fig C). Pharmacologic inhibition and genetic ablation of PDK1 blocked MAPK- and mTORC1-dependent protein synthesis in platelets through a mechanism requiring the phosphorylation of eIF4E and S6K. Concordantly, PDK1 is necessary for signal-dependent synthesis of the protein bcl3, which is under mTORC1-dependent control (Fig C). Taken together, our findings show for the first time that PDK1, a master kinase in the PI3K pathway, directly governs thromboxane generation, thrombosis, and protein synthesis in platelets through regulating MAPK and mTORC1 pathways.
Natural Rate Measures in an Estimated DSGE Model of the U.S. Economy (2007)

This paper presents a monetary DSGE model of the U.S. economy. The model captures the most important production, expenditure, and nominal-contracting decisions underlying economic data while remaining sufficiently small to allow it to provide a clear interpretation of the data. We emphasize the role of model-based analyses as vehicles for storytelling by providing several examples--based around the evolution of natural rates of production and interest--of how our model can provide narratives to explain recent macroeconomic fluctuations. The stories obtained from our model are both similar to and quite different from conventional accounts.
Hybrid Core@Soft Shell Particles as Adhesive Elementary Building Blocks for Colloidal Crystals (2009)

Hybrid materials have been developed through the synthesis of colloidal silica surrounded by elastomer polymer brushes. These core@shell materials have been achieved by the use of "nitroxide-mediated polymerization" (NMP) associated with a "grafting from" method. The living and controlled characteristics of the polymerization allow TEM observations of well-monodisperse core@shell nanohybrids. We present herein the synthetic process to create homogeneous smoothness particles surface associated with a strong adhesive property. The brush thickness is tuned in order to compare with molecular dynamic equations through the tailoring of the grafting density and the molecular weight. Finally, these particles were used as elementary adhesive building blocks and self-assembled by a dip-coating process to form a monolayered material. Its diffraction under light is described on a large-scale material as well as the elastomeric polymer brushes layer influence.
Relative Risk Analysis of Several Manufactured Nanomaterials:  An Insurance Industry Context (2005)

A relative risk assessment is presented for the industrial fabrication of several nanomaterials. The production processes for five nanomaterials were selected for this analysis, based on their current or near-term potential for large-scale production and commercialization: single-walled carbon nanotubes, bucky balls (C60), one variety of quantum dots, alumoxane nanoparticles, and nano-titanium dioxide. The assessment focused on the activities surrounding the fabrication of nanomaterials, exclusive of any impacts or risks with the nanomaterials themselves. A representative synthesis method was selected for each nanomaterial based on its potential for scaleup. A list of input materials, output materials, and waste streams for each step of fabrication was developed and entered into a database that included key process characteristics such as temperature and pressure. The physical-chemical properties and quantities of the inventoried materials were used to assess relative risk based on factors such as volatility, carcinogenicity, flammability, toxicity, and persistence. These factors were first used to qualitatively rank risk, then combined using an actuarial protocol developed by the insurance industry for the purpose of calculating insurance premiums for chemical manufacturers. This protocol ranks three categories of risk relative to a 100 point scale (where 100 represents maximum risk): incident risk, normal operations risk, and latent contamination risk. Results from this analysis determined that relative environmental risk from manufacturing each of these five materials was comparatively low in relation to other common industrial manufacturing processes.
Enterocolitis with Peritonitis in a Child with Pheochromocytoma (1977)

An 8-year-old boy presented at UCLA Hospital with a one month history of hypertension prior to suffering a sudden onset of acute abdominal pain, rectal bleeding, peritonitis, and shock. Sigmoidoscopy showed diffuse mucosal friability. At laparotomy, inflammation and edema of the entire colon and terminal ileum were detected with two necrotic areas on the cecum. A 5 cm right adrenal pheochromocytoma with a hemorrhagic center was removed and a diverting loop ileostomy with inversion of the necrotic cecal areas was performed. Postoperatively, the blood pressure gradually returned to normal, and the colitis improved. Serum calcium and T3 T4 levels were normal. Review of the literature demonstrates that in patients with pheochromocytoma, progression from colitis to necrosis can be precipitated by a hypotensive episode. This patient suggests an example of catecholamine induced enterocolitis.
Genetic Variation of Susceptibility to Mycobacterium avium subsp. paratuberculosis Infection in Dairy Cattle (2000)

Paratuberculosis is an infectious disease that is not easily amenable to classical control methods such as treatment and vaccination. Experimental animal models suggest that there could be genetic factors responsible for susceptibility or resistance to infection with the causative agent, Mycobacterium avium subsp. paratuberculosis. The aim of this study was to estimate genetic variation in susceptibility to paratuberculosis in Dutch dairy cattle. Data collected during a vaccination trial, conducted from 1984 to 1994, was used. A total of 3020 cows, with complete pedigree records and infection status at slaughter, were available for analysis. A standard polygenic statistical probit model was used to estimate heritabilities. The estimated heritability of susceptibility to M. avium. subsp. paratuberculosis infection was 0.06 for the overall population. In the subpopulation of vaccinated animals the estimated heritability was 0.09. Other calculations based on the model used in this study argue against a prominent role for vertical transmission. Because the establishment of genetic variation is one of the first steps towards the exploration of the possible use of selection for genetic improvement, the present study provides evidence for the presence of genetic variation in the susceptibility of cattle to paratuberculosis. Because the economic impact of the disease is substantial, the development and application of genetic tools, along with other control methods, could be instrumental in the eradication of paratuberculosis.
Introduction (2010)

In this introduction, we set out directly to answer the many questions the reader may have in mind about this book, such as:
Laser Induced Plasma Micro-Machining (2010)

A new micro-machining process that is motivated by the need to overcome the various limitations associated with the micro-EDM (μ-EDM) process is introduced. The limitations in μ-EDM are primarily due to the requirement of a conductive electrode and workpiece, tool wear, and complex wear compensation strategies. The new process, termed “laser-induced plasma micro-machining” uses a laser beam to generate plasma in a dielectric near the workpiece surface whose explosive expansion results in material removal by mechanisms similar to those that occur in μ-EDM.
Cation-Poor Complex Metallic Alloys in Ba(Eu)–Au–Al(Ga) Systems: Identifying the Keys that Control Structural Arrangements and Atom Distributions at the Atomic Level (2015)

Four complex intermetallic compounds BaAu(6±x)Ga(6±y) (x = 1, y = 0.9) (I), BaAu(6±x)Al(6±y) (x = 0.9, y = 0.6) (II), EuAu6.2Ga5.8 (III), and EuAu6.1Al5.9 (IV) have been synthesized, and their structures and homogeneity ranges have been determined by single crystal and powder X-ray diffraction. Whereas I and II originate from the NaZn13-type structure (cF104-112, Fm3̅c), III (tP52, P4/nbm) is derived from the tetragonal Ce2Ni17Si9-type, and IV (oP104, Pbcm) crystallizes in a new orthorhombic structure type. Both I and II feature formally anionic networks with completely mixed site occupation by Au and triel (Tr = Al, Ga) atoms, while a successive decrease of local symmetry from the parental structures of I and II to III and, ultimately, to IV correlates with increasing separation of Au and Tr on individual crystallographic sites. Density functional theory-based calculations were employed to determine the crystallographic site preferences of Au and the respective triel element to elucidate reasons for the atom distribution ("coloring scheme"). Chemical bonding analyses for two different "EuAu6Tr6" models reveal maximization of the number of heteroatomic Au-Tr bonds as the driving force for atom organization. The Fermi levels fall in broad pseudogaps for both models allowing some electronic flexibility. Spin-polarized band structure calculations on the "EuAu6Tr6" models hint to singlet ground states for europium and long-range magnetic coupling for both EuAu6.2Ga5.8 (III) and EuAu6.1Al5.9 (IV). This is substantiated by experimental evidence because both compounds show nearly identical magnetic behavior with ferromagnetic transitions at TC = 6 K and net magnetic moments of 7.35 μB/f.u. at 2 K. The effective moments of 8.3 μB/f.u., determined from Curie-Weiss fits, point to divalent oxidation states for europium in both III and IV.
Controlling solid-state optical properties of stimuli responsive dimethylamino-substituted dibenzoylmethane materials (2017)

Dimethylamino β-diketones with electron donating and withdrawing substituents displayed solvatochromism and aggregation induced emission. In the solid state, a blue to orange color range and thermal and mechanoresponsive properties were achieved.
Transcriptomics-based matching of drugs to diseases with deep learning (2023)

In this work we present a deep learning approach to conduct hypothesis-free, transcriptomics-based matching of drugs for diseases. Our proposed neural network architecture is trained on approved drug-disease indications, taking as input the relevant disease and drug differential gene expression profiles, and learns to identify novel indications. We assemble an evaluation dataset of disease-drug indications spanning 68 diseases and evaluate in silico our approach against the most widely used transcriptomics-based matching baselines, CMap and the Characteristic Direction. Our results show a more than 200% improvement over both baselines in terms of standard retrieval metrics. We further showcase our model's ability to capture different genes' expressions interactions among drugs and diseases. We provide our trained models, data and code to predict with them at https://github.com/healx/dgem-nn-public.
Role of different proton-sensitive channels in releasing calcitonin gene-related peptide from isolated hearts of mutant mice (2005)

Objective: Calcitonin gene-related peptide (CGRP), a potent vasodilator released from a subset of sensory Aδ- and C-fiber afferents, has been suggested to play a beneficial role in myocardial ischemia. The aim of the present study was to investigate some receptors possibly involved in the proton-mediated CGRP release from the heart.
Organic Chemistry of Ferrocene. III. 6-Methyl-6-hydroxy-2-phenylazofulvene (1962)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOrganic Chemistry of Ferrocene. III. 6-Methyl-6-hydroxy-2-phenylazofulveneRichard E. Bozak and Kenneth L. RinehartCite this: J. Am. Chem. Soc. 1962, 84, 9, 1589–1593Publication Date (Print):May 1, 1962Publication History Published online1 May 2002Published inissue 1 May 1962https://pubs.acs.org/doi/10.1021/ja00868a015https://doi.org/10.1021/ja00868a015research-articleACS PublicationsRequest reuse permissionsArticle Views214Altmetric-Citations12LEARN 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 InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts