gebhart/patrepeval huggingface dataset:
Identification of genes associated with fumonisin biosynthesis in Fusarium verticillioides via proteomics and quantitative real-time PCR. (2008)

In this study, we used functional genomic strategies, proteomics and quantitative real-time (qRT)-PCR, to advance our understanding of genes associated with fumonisin production in the fungus Fusarium verticillioides. Earlier studies have demonstrated that deletion of the FCC1 gene, which encodes a C-type cyclin, leads to a drastic reduction in fumonisin production and conidiation in the mutant strain (FT536). The premise of our research was that comparative analysis of F. verticillioides wild-type and FT536 proteomes will reveal putative proteins, and ultimately corresponding genes, that are important for fumonisin biosynthesis. We isolated proteins that were significantly upregulated in either the wild type or FT536 via two-dimensional polyacrylamide gel electrophoresis, and subsequently obtained sequences via mass spectrometry. Homologs of identified proteins, e.g., carboxypeptidase, laccase, and nitrogen metabolite repression protein, are known to have functions involved in fungal secondary metabolism and development. We also identified gene sequences corresponding to the selected proteins and investigated their transcriptional profiles via quantitative real-time (qRT)-PCR in order to identify genes that show concomitant expression patterns during fumonisin biosynthesis. These genes can be selected as targets for functional analysis to further verify their roles in FB1 biosynthesis.
Supported Pt—Co Catalysts for Selective CO Oxidation in a Hydrogen‐Rich Stream. (2007)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Oxidative Polymerization of Silylthioketene Dimer (2006)

Abstract Summary: The first π‐conjugated poly(thioketene dimer) was synthesized via the homopolymerization of a silylthioketene dimer by a chemical oxidation‐reduction process. The polymerization of trimethylsilylthioketene dimer in the presence of FeCl 3 (in CHCl 3 at 70 °C for 24 h) gave the corresponding doped poly(thioketene dimer). After treatment of the doped polymer with an aqueous solution of ammonia, the neutral poly(thioketene dimer) was obtained with an incidental desilylation. The polymer obtained was soluble in DMF and DMSO. From gel permeation chromatographic analysis (DMF, polystyrene standards), the number‐average molecular weight of the polymer was found to be 7 460. The polymer showed low oxidation potentials derived from the thioketene dimer unit. An effective extension of the π‐conjugation was observed in the polymer. Synthesis of π‐conjugated poly(thioketene dimer). magnified image Synthesis of π‐conjugated poly(thioketene dimer).
Steric, Electronic, and Secondary Effects on the Coordination Chemistry of Ionic Phosphine Ligands and the Catalytic Behavior of Their Metal Complexes (2010)

The effects of introducing ionic functionalities in phosphine ligands on the coordination chemistry of these ligands and the catalytic behavior of the corresponding metal complexes are reviewed. The steric and electronic consequences of such functionalizations are discussed. Apart from these steric and electronic effects, the presence of charged groups often leads to additional, supramolecular interactions that occur in the second coordination sphere of the metal complex, such as intramolecular, interligand hydrogen bonding and Coulombic repulsion. These interactions can significantly alter the behavior of the phosphine ligand in question. Such effects have been observed in phosphine-metal association/dissociation equilibria, ligand substitution reactions, and stereoisomerism in phosphine-metal complexes. By drawing general conclusions, this review offers an insight into the coordination and catalytic behavior of phosphine ligands containing ionic functionalities and their corresponding metal complexes.
The hypoxic tissue microenvironment as a driver of mucosal inflammatory resolution (2023)

On the backdrop of all acute inflammatory processes lies the activation of the resolution response. Recent years have witnessed an emerging interest in defining molecular factors that influence the resolution of inflammation. A keystone feature of the mucosal inflammatory microenvironment is hypoxia. The gastrointestinal tract, particularly the colon, exists in a state of physiological hypoxia and during active inflammation, this hypoxic state is enhanced as a result of infiltrating leukocyte oxygen consumption and the activation of oxygen consuming enzymes. Most evidence suggests that mucosal hypoxia promotes the active resolution of inflammation through a variety of mechanisms, including extracellular acidification, purine biosynthesis/salvage, the generation of specialized pro-resolving lipid mediators (ie. resolvins) and altered chemokine/cytokine expression. It is now appreciated that infiltrating innate immune cells (neutrophils, eosinophils, macrophages) have an important role in molding the tissue microenvironment to program an active resolution response. Structural or functional dysregulation of this inflammatory microenvironment can result in the loss of tissue homeostasis and ultimately progression toward chronicity. In this review, we will discuss how inflammatory hypoxia drives mucosal inflammatory resolution and its impact on other microenvironmental factors that influence resolution.
Synchronized AR environment for multiple users using animation markers (2014)

In this paper, we propose an AR environment in which multiple users can synchronously share and see AR contents based on our proposed animation markers with time-sequence information. Many AR systems have been proposed, some of which consider simultaneous use by multiple users. However, these systems require a synchronization mechanism among users (devices) for simultaneous displaying. Such mechanisms complicate the systems. Thus, we propose an animation marker that can transmit temporal (frame) information in a synchronized AR environment among multiple users using our animation markers.
HyperapoB and dysfunctional white adipose tissue; relation to risk factors for type 2 diabetes in humans (2016)

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
New type of the internalization‐defective low‐density lipoprotein receptor owing to two‐nucleotide deletion (2199delCA or 2201delCA) in Japanese patients with familial hypercholesterolaemia (1998)

Deletion of the two nucleotides caused novel amino acid sequences after the O-linked sugar domain, which has the ability of sorting on the cell membrane at 4 degrees C, but not at 37 degrees C in vivo, resulting in the complete cessation of activity of the LDL receptor.
A Novel Long-Range PCR Sequencing Method for Genetic Analysis of the Entire PKD1 Gene (2012)

Genetic testing of PKD1 and PKD2 is useful for the diagnosis and prognosis of autosomal dominant polycystic kidney disease; however, analysis is complicated by the large transcript size, the complexity of the gene region, and the high level of gene variations. We developed a novel mutation screening assay for PKD1 by directly sequencing long-range (LR) PCR products. By using this method, the entire PKD1 coding region was amplified by nine reactions, generating product sizes from 2 to 6 kb, circumventing the need for specific PCR amplification of individual exons. This method was compared with direct sequencing used by a reference laboratory and the SURVEYOR-WAVE Nucleic Acid High Sensitivity Fragment Analysis System (Transgenomic) screening method for five patients with autosomal dominant polycystic kidney disease. A total of 53 heterozygous genetic changes were identified by LR PCR sequencing, including 41 (of 42) variations detected by SURVEYOR nuclease and all 32 variations reported by the reference laboratory, detecting an additional 12 intronic changes not identified by the other two methods. Compared with the reference laboratory, LR PCR sequencing had a sensitivity of 100%, a specificity of 98.5%, and an accuracy of 98.8%; compared with the SURVEYOR-WAVE method, it had a sensitivity of 97.1%, a specificity of 100%, and an accuracy of 99.4%. In conclusion, LR PCR sequencing was superior to the direct sequencing and screening methods for detecting genetic variations, achieving high sensitivity and improved intronic coverage with a faster turnaround time and lower costs, and providing a reliable tool for complex genetic analyses.
Poor human olfaction is a 19th-century myth (2017)

It is commonly believed that humans have a poor sense of smell compared to other mammalian species. However, this idea derives not from empirical studies of human olfaction but from a famous 19th-century anatomist's hypothesis that the evolution of human free will required a reduction in the proportional size of the brain's olfactory bulb. The human olfactory bulb is actually quite large in absolute terms and contains a similar number of neurons to that of other mammals. Moreover, humans have excellent olfactory abilities. We can detect and discriminate an extraordinary range of odors, we are more sensitive than rodents and dogs for some odors, we are capable of tracking odor trails, and our behavioral and affective states are influenced by our sense of smell.
Draft Assembly of Elite Inbred Line PH207 Provides Insights into Genomic and Transcriptome Diversity in Maize (2016)

Intense artificial selection over the last 100 years has produced elite maize (Zea mays) inbred lines that combine to produce high-yielding hybrids. To further our understanding of how genome and transcriptome variation contribute to the production of high-yielding hybrids, we generated a draft genome assembly of the inbred line PH207 to complement and compare with the existing B73 reference sequence. B73 is a founder of the Stiff Stalk germplasm pool, while PH207 is a founder of Iodent germplasm, both of which have contributed substantially to the production of temperate commercial maize and are combined to make heterotic hybrids. Comparison of these two assemblies revealed over 2500 genes present in only one of the two genotypes and 136 gene families that have undergone extensive expansion or contraction. Transcriptome profiling revealed extensive expression variation, with as many as 10,564 differentially expressed transcripts and 7128 transcripts expressed in only one of the two genotypes in a single tissue. Genotype-specific genes were more likely to have tissue/condition-specific expression and lower transcript abundance. The availability of a high-quality genome assembly for the elite maize inbred PH207 expands our knowledge of the breadth of natural genome and transcriptome variation in elite maize inbred lines across heterotic pools.
Protocol for a multicentre study to assess feasibility, acceptability, effectiveness and direct costs of TRIumPH (Treatment and Recovery In PsycHosis): integrated care pathway for psychosis (2016)

UK Clinical Research Network Portfolio: 19187.
Generation and propagation of kilometric radiation in the auroral plasma cavity (1989)

Two‐dimensional particle simulations and three‐dimensional ray‐tracing calculations are used to investigate the generation and propagation of electromagnetic radiation produced by the electron cyclotron maser instability under conditions that prevail in the auroral plasma cavity. The simulations incorporate a continual flow of primary energetic electrons along the magnetic field. In such a driven system the maser instability leads to a quasi‐steady state in which as much as 7% of the incident flux of electron energy is converted into radiation. The maximum radiation intensity occurs within 20‐30 km from the injection point of the primary electrons, and the radiation consists of discrete wave packets with a spatial extent of 4‐6 km parallel to the field. The magnetic field gradient is shown to be unimportant for these quasi‐local properties of the maser instability. The ray path calculations are performed in a dipolar field geometry and retain the relativistic corrections to the wave dispersion. For the case where the energetic electrons are the dominant species, amplifications of the order of e 10 are achieved within path lengths of less than 100 km. This indicates that the maser instability can produce the observed amplification of auroral kilometric radiation above cosmic background levels within a distance smaller than the dimensions of the auroral cavity.
A Methodology for Embedded Classification of Heartbeats Using Random Projections (2013)

Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals. One of its most relevant applications is the acquisition and analysis of Electrocardiograms (ECGs). These low-power WBSN designs, while able to perform advanced signal processing to extract information on hearth conditions of subjects, are usually constrained in terms of computational power and transmission bandwidth. It is therefore beneficial to identify in the early stages of analysis which parts of an ECG acquisition are critical and activate only in these cases detailed (and computationally intensive) diagnosis algorithms. In this paper, we introduce and study the performance of a real-time optimized neuro-fuzzy classifier based on random projections, which is able to discern normal and pathological heartbeats on an embedded WBSN. Moreover, it exposes high confidence and low computational and memory requirements. Indeed, by focusing on abnormal heartbeats morphologies, we proved that a WBSN system can effectively enhance its efficiency, obtaining energy savings of as much as 63% in the signal processing stage and 68% in the subsequent wireless transmission when the proposed classifier is employed.
Resin-ionomer and hybrid-ionomer cements: part II, human clinical and histologic wound healing responses in specific periodontal lesions. (1997)

Twenty-five subjects with a total of 50 subgingival restorations participated in this study. At the beginning of the investigation, nine teeth that were considered hopeless because of the extent of their pathology were selected for extraction to evaluate histologically the restorations and their effect on the adjacent tissues. The purpose of this article is to demonstrate the responses to the clinical applications as well as to the placement of resin-ionomers in subgingival lesions. Clinical and histologic evidence of epithelial and connective tissue adherence to resin-ionomer restorative materials was observed during the healing process.
Coordinating Overbooking and Capacity Control Decisions on a Network (2004)

Overbooking and control are two central problems in revenue management. Roughly, overbooking determines a \virtual capacity on each °ight { a in excess of the physical to hedge against cancellations and no-shows { while control determines how this virtual is allocated to various itineraries and fare classes. In practice, these problems are typically solved using sep arate models, despite the fact that the two sets of decisions are quite interrelated. While methods have been proposed for combining overbooking and seat allocation decisions on a single °ight leg, few techniques have been proposed for networks. In this paper, we propose a generic method for coordinating these two sets of decisions in general networks. While the method applies to a wide range of model types, we illustrate it for the commonly used deterministic linear programming and economic overbooking models. We analyze structural properties of the method and show that a control policy derived from it is asymptotically optimal when sales volumes and capacities are large. We also provide a computationally e±cient algorithm to determine the optimal policy parameters. Finally, we provide a numerical study of the method's performance relative to other ad hoc approaches representative of those used in practice. While our method is not uniformly better than other approaches in all cases, the examples suggest that it yields more consistent and robust performance.
Design and functional specification of the Synapses federated healthcare record server. Synapses Consortium. (1997)

Synapses is a project funded under the EU Health Telematics Framework IV Programme. Synapses sets out to solve problems of sharing data between autonomous information systems, by providing generic and open means to combine healthcare records or dossiers consistently, simply, comprehensibly and securely, whether the data passes within a single healthcare institution or between institutions. This paper presents the specification of the Synapses server, the kernel concept of Synapses. It describes the basis in the European prestandard for Electronic Healthcare Record Architecture, the interfaces to the Synapses server and different integration mechanisms for systems providing information to the server. The specification will be verified at a number of validation sites, and the final result will be in the public domain.
Endocrine Effects of Simulated Complete and Partial Aortic Occlusion in a Swine Model of Hemorrhagic Shock (2018)

Simulated EVAC was associated with higher serum angiotensin II, which may have contributed to previously reported cardiovascular benefits. Future studies should evaluate the renal effects of EVAC and the concomitant therapeutic use of angiotensin II.
Evidence for Frequent Regression of Cervical Intraepithelial Neoplasia–Grade 2 (2009)

II.
The Relationship between Individual Labour Market Outcomes, Household Income and Expenditure, and Inequality and Poverty in New Zealand from 1983 to 2003 (2012)

This paper investigates the relationship between individual labour market outcomes, household income and expenditure, and inequality and poverty in New Zealand using detailed data from the 1983/84  2003/04 Household Economic Survey (HES). We begin by discussing and summarising measures of income and expenditure calculated from the HES. We next examine the relationship between individual labour market outcomes, and household income and expenditure for households with different characteristics. In particular, we focus on how this relationship varies over the life cycle and over time. This analysis is then extended to examine inequality in labour market outcomes, household income and household expenditure. In the last section, we examine the determinants of the levels and changes in poverty in New Zealand using both expenditure and income data. We also apply a newly developed methodology for combining income and expenditure data to produce poverty indicators.
Short-Distance Wireless and Its Opportunities (2017)

The vast majority of the wireless transceivers designed have focused on medium and long distance transmission ranges. Near-field communication is used by systems operating in low frequency and high frequency (HF) bands, whereas far-field communication is utilized by ultra-high frequency and microwave systems. Most traditional wireless communication systems utilize narrowband architectures. Narrowband architectures are quite popular for all types of wireless communication, including short-distance, low-power systems. With the development of new technologies such as body networks and wearable/paintable computer, a new model of wireless sensor network must be considered. Besides classical radio-frequency (RF) identifications applications, where only a fixed tag-ID is read out, passive RF communication is increasingly used for wireless sensor network–like applications. The design of the low-noise amplifier and the antenna driver is impacted by the impedance level of the chosen antenna, which is a strong function of the type of coupling used and the operating frequency.
Supplementary Table S4 from DNA-Methylome–Based Tumor Hypoxia Classifier Identifies HPV-Negative Head and Neck Cancer Patients at Risk for Locoregional Recurrence after Primary Radiochemotherapy (2023)

&lt;p&gt;Supplementary Table S4. Correlations with CIBERSORT immune signature expressions in the TCGA-HNSCC cohort&lt;/p&gt;
A new digital control DC-DC converter with repetition neural network prediction (2011)

This paper presents a novel prediction based digital control dc-dc converter. In this method, a neural network control is adopted to improve the transient response in coordination with a conventional P-I-D control. The prediction based control term is consists of predicted data which are obtained from repetitive training of the neural network. This works to improve the transient response very effectively when the load is changed quickly. As a result, the undershoot and convergence time of the output voltage and the overshoot of the reactor current are suppressed effectively as compared with the conventional one in the step change of load resistance.
Electromagnetic probes of molecular motors in the electron transport chains of mitochondria and chloroplasts (2005)

We report on measurements of harmonics generated by whole cells, mitochondria, and chloroplasts in response to applied sinusoidal electric fields. The frequency- and amplitude-dependence of the induced harmonics exhibit features that correlate with physiological processes. Budding yeast (S. cerevisiae) cells produce numerous harmonics, the amplitudes of which depend strongly on frequency. When the second or third harmonic amplitude is plotted vs. applied frequency, we observe two peaks, around 3 kHz and 12 kHz, which are suppressed by respiratory inhibitors. We observe similar peaks when measuring the harmonic response of B. indicas, a relative of the mitochondrial ancestor. In uncoupled mitochondria, in which most of the electron transport chain is active but the ATP-synthase molecular turbine is inactive, only one (lower frequency) of the two peaks is present. Finally, we find that harmonics generated by chloroplasts depend dramatically on incident light, and vanish in the absence of light.
Contents, Vol. 54, 1997 (1997)

for each drug for any change in indications and dosage and for added warnings and precau tions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Tree-based Deep Convolutional Neural Network for Hierarchical Identification of Low-resolution Insect Images (2021)

<b><sc>Abstract.</sc></b> <b>The inability to classify insects up to the species level is the current limitation of recently developed automated insect recognition algorithms. Yet, there are situations in integrated pest management (IPM) that call for more precise classification of insects. This research proposes an effective method for automated identification of low-resolution insect images found on sticky paper traps. Insect image samples were collected from sticky paper trap images that were acquired by wireless image sensor nodes installed in an outdoor mango orchard. A tree-based classifier, made up of taxonomically cascaded convolutional neural network (CNN) models, was used to automatically identify the insects on each sticky paper trap from coarse to fine taxonomic levels. The proposed tree-based classification method can classify the insect images up to an F<sub>1</sub>-score of 0.94, surpassing the performance of an optimized single multi-class image classifier model with an F<sub>1</sub>-score of 0.87. The proposed method not only boosts the classification performance, but also offers hierarchical predictions that can be used as easily interpretable information. In addition, model hyperparameter optimization, data augmentation, and classification probability threshold tuning can be applied at each level to optimize its performance. This research can be applied to support farmers in selecting IPM components, such as crop variants, pesticides, parasitoids, and more, in order to control the population of different insect species and prevent production loss.</b>