gebhart/patrepeval huggingface dataset:
Suppression Of Bacterial Leaf Scorch Symptoms In American Elm Through Oxytetracycline Microinjection (1985)

Abstract American elms with bacterial-associated leaf scorch (ELS) were injected with oxytetracycline (OTC) to determine if the antibiotic would cause a delay in symptom onset or a remission of symptoms. Degree of symptom expression and presence of fastidious, xylem-inhabiting bacteria were determined in August 1982. Eleven symptomatic trees were injected in August 1982 with OTC (40 mg a.i./cm dbh) delivered via Mauget capsules. OTC was injected at 40 mg a.i./cm dbh into 14 trees and at 80 mg a.i./cm dbh into 8 trees using a pipette injection technique. Ten untreated, symptomatic trees served as controls. In June 1983, all OTC treated trees were injected using prefilled Mauget capsules at dosage levels of 50 mg a.i./cm dbh or 80 mg a.i./cm dbh. By July, symptoms appeared in 7 of 10 untreated trees but only in 2 of the remaining 29 OTC-treated trees. By late August, symptoms were absent or reduced in 22 of 23 trees treated at the low OTC levels, and 3 of 6 trees treated at the high OTC level. Symptom remission was most apparent in trees which had less than 20% of the canopy leaf area affected with ELS prior to treatment. Delay of symptom onset and symptom remission support the role of the fastidious, xylem-inhabiting bacterium as the causal agent of ELS.
PSO-GA-Based Resource Allocation Strategy for Cloud-Based Software Services With Workload-Time Windows (2020)

Cloud-based software services necessitate adaptive resource allocation with the promise of dynamic resource adjustment for guaranteeing the Quality-of-Service (QoS) and reducing resource costs. However, it is challenging to achieve adaptive resource allocation for software services in complex cloud environments with dynamic workloads. To address this essential problem, we propose an adaptive resource allocation strategy for cloud-based software services with workload-time windows. Based on the QoS prediction, the proposed strategy first brings the current and future workloads into the process of calculating resource allocation plans. Next, the particle swarm optimization and genetic algorithm (PSO-GA) is proposed to make runtime decisions for exploring the objective resource allocation plan. Using the RUBiS benchmark, the extensive simulation experiments are conducted to validate the effectiveness of the proposed strategy on improving the performance of resource allocation for cloud-based software services. The simulation results show that the proposed strategy can obtain a better trade-off between the QoS and resource costs than two classic resource allocation methods.
Design and implementation of digital fractional order PID controller using optimal pole-zero approximation method for magnetic levitation system (2016)

The aim of this paper is to employ fractional order proportional integral derivative (FO-PID) controller and integer order PID controller to control the position of the levitated object in a magnetic levitation system (MLS), which is inherently nonlinear and unstable system. The proposal is to deploy discrete optimal pole-zero approximation method for realization of digital fractional order controller. An approach of phase shaping by slope cancellation of asymptotic phase plots for zeros and poles within given bandwidth is explored. The controller parameters are tuned using dynamic particle swarm optimization (dPSO) technique. Effectiveness of the proposed control scheme is verified by simulation and experimental results. The performance of realized digital FO-PID controller has been compared with that of the integer order PID controllers. It is observed that effort required in fractional order control is smaller as compared with its integer counterpart for obtaining the same system performance.
Manipulation of protein fingerprints during on-column fluorescent labeling: Protein fingerprinting of sixStaphylococcus species by capillary electrophoresis (2001)

Bacterial proteomes were analyzed by use of electrophoretically mediated microanalysis (EMMA) and field-enhanced stacking. A water-soluble protein fraction was injected onto a capillary. Next, a fluorogenic reagent was injected and allowed to react with the protein mixture, producing fluorescent products that were separated by submicellar capillary electrophoresis and detected by laser-induced fluorescence. By use of a low-ionic strength sample buffer and a brief electrophoretic step, slow moving anionic proteins were stacked at the reagent-sample interface and were preferentially labeled. By reversing the order of sample injection and labeling reagent, fast moving cationic proteins were preferentially labeled. By adjustment of the sample buffer pH, proteins with different isoelectric points were selectively labeled. Electrophoresis fingerprints were generated for the water-soluble protein fraction from six Staphylococcus species. The protein patterns produced were species-specific and were used to construct a phylogenetic tree.
Association of biomarkers of insulin resistance and inflammation with skeletal muscle index (SMI) in stage IV non-small cell lung cancer (NSCLC). (2016)

10013 Background: The aim of this project was to correlate pretreatment levels of circulating biomarkers of insulin resistance and inflammation with sarcopenia in stage IV NSCLC patients receiving platinum doublet chemotherapy. For this, a skeletal muscle index was evaluated at L1 in baseline CT images to serve as a surrogate for sarcopenia. Methods: Pretreatment serum from 93 patients with frontline stage IV NSCLC was evaluated for 13 metabolism biomarkers with the Bio-Plex Pro Human Diabetes Assay Panel and 20 inflammation-related biomarkers using the Milliplex Human High Sensitivity T Cell Panel. All patients were treated with standard platinum doublet based chemotherapy. All patients had SMI calculated from baseline CT images using the Slice-O-Matic software package (Tomovision); where SMI = (muscle cross sectional area in cm2) / height in m2. Associations of biomarkers with SMI were assessed using a Spearman’s Rank Correlation Coefficient. The Log-Rank test was performed to evaluate the association of individual biomarkers with overall survival (OS). Results: High levels of C-peptide and adipsin were associated with favorable OS and increase in baseline SMI (see Table). Low levels of ghrelin were inversely associated with SMI values and associated with favorable OS. High levels of adiponectin (with low levels of adiponectin being correlating with obesity in the literature) were associated with good OS and diminished SMI. Conclusions: High values of several biomarkers of insulin resistance and inflammation were associated with both a shortened survival and sarcopenia in frontline NSCLC patients receiving platinum double therapy. These findings suggest a certain subset of patients that may have improvements in cancer cachexia by targeting insulin resistance and inflammation. Biomarkers SMI Log-Rank test Spearman Correlation p-value p-value Adiponectin -0.413 3.88E-05 0.362 Ghrelin -0.238 0.021 0.0053 C-Peptide 0.198 0.056 0.0149 Adipisin 0.389 0.0001 0.0148
ID-based secret-key cryptography (1998)

This paper introduces ID-based secret-key cryptography, in which secret keys are privately and uniquely binded to an identity. This enables to extend public-key cryptography features at the high throughput rate of secret-key cryptography. As applications, efficient login protocols, an enhanced version of Kerberos, and an ID-based MAC algorithm are presented.ID-based systems were initially developed in the context of public-key cryptography by removing the need of explicit public keys. The idea was to derive, in a publicly known way, a public key from an identity. Similarly, in secret-key cryptography, ID-based systems allow authorized entities to derive a secret key from an identity. So, large databases maintaining the correspondence between an identity and the corresponding secret key are no longer required, resulting in better performances and higher security.
Multiple sensor processing for high-precision navigation and environmental modeling with a mobile robot (2002)

In this paper an approach to real-time position correction and environmental modeling based on odometry, ultrasonic sensing, structured light sensing and active stereo vision (bin- and trinocular) is presented. Odometry provides the robot with a position estimation and with the help of a model of the environment sensor perceptions can be matched to predictions. Ultrasonic sensing is capable of collision avoidance and obstacle detection and so enables navigation in simply structured environments. Model-based image processing allows detection and classification of natural landmarks in the stereo images uniquely. With only one observation the robot's position and orientation relative to the observed landmark is found precisely. This sensing strategy is used when high precision is necessary for the performance of the navigation task. Finally techniques are described that allow an automatic mapping of an unknown or only partially known environment.
Haloalkane-UtilizingRhodococcusStrains Isolated from Geographically Distinct Locations Possess a Highly Conserved Gene Cluster Encoding Haloalkane Catabolism (2000)

The sequences of the 16S rRNA and haloalkane dehalogenase (dhaA) genes of five gram-positive haloalkane-utilizing bacteria isolated from contaminated sites in Europe, Japan, and the United States and of the archetypal haloalkane-degrading bacterium Rhodococcus sp. strain NCIMB13064 were compared. The 16S rRNA gene sequences showed less than 1% sequence divergence, and all haloalkane degraders clearly belonged to the genus Rhodococcus. All strains shared a completely conserved dhaA gene, suggesting that the dhaA genes were recently derived from a common ancestor. The genetic organization of the dhaA gene region in each of the haloalkane degraders was examined by hybridization analysis and DNA sequencing. Three different groups could be defined on the basis of the extent of the conserved dhaA segment. The minimal structure present in all strains consisted of a conserved region of 12.5 kb, which included the haloalkane-degradative gene cluster that was previously found in strain NCIMB13064. Plasmids of different sizes were found in all strains. Southern hybridization analysis with a dhaA gene probe suggested that all haloalkane degraders carry the dhaA gene region both on the chromosome and on a plasmid (70 to 100 kb). This suggests that an ancestral plasmid was transferred between these Rhodococcus strains and subsequently has undergone insertions or deletions. In addition, transposition events and/or plasmid integration may be responsible for positioning the dhaA gene region on the chromosome. The data suggest that the haloalkane dehalogenase gene regions of these gram-positive haloalkane-utilizing bacteria are composed of a single catabolic gene cluster that was recently distributed worldwide.
Biomarkers of Environmental Enteric Dysfunction in Pregnancy and Adverse Birth Outcomes: An Observational Study Among Women Living With HIV in Tanzania (2022)

Environmental enteric dysfunction (EED), a subclinical state of intestinal inflammation, may contribute to poor fetal growth in low-resource settings. Pregnant women living with HIV may be particularly susceptible to effects of EED, given their increased risk of infections and adverse birth outcomes. We sought to explore the associations of biomarkers of EED, inflammation and growth hormones with birth outcomes in pregnant women living with HIV in Dar es Salaam, Tanzania. We performed a sub-study of 706 HIV-infected pregnant women participating in a randomized, double-blind, placebo-controlled trial assessing the effect of vitamin D3 supplementation. Maternal serum samples collected at 32 weeks gestation were analyzed for anti-flagellin and anti-LPS IgA and IgG via ELISA as well as using an 11-plex Micronutrient and EED Assessment Tool, which includes markers of EED [intestinal fatty acid-binding protein (I-FABP) and soluble CD14], systemic inflammation [C-reactive protein and α1-acid glycoprotein (AGP)], insulin-like growth factor 1 (IGF-1) and fibroblast growth factor 21 (FGF21). Biomarkers were categorized as quartiles. Associations with birth outcomes were assessed using linear regression analyses. Pregnant women in the highest quartile of I-FABP had more than twice the risk of stillbirth compared to those in the lowest quartile (RR 2.43, 95% CI 0.98–6.03, ptrend = 0.02). Compared to women in the lowest quartile of AGP, those in the highest quartile gave birth to infants weighing 176g less (95% CI -280 to -71g, ptrend = 0.005). Maternal AGP was associated with increased risk of small-for-gestational age births; those in the highest quartile had a 70% greater risk compared to the lowest (RR 1.70, 95% CI 1.08–2.69, ptrend = 0.03). IGF1 was positively associated with birthweight and birthweight-for-age z-score; FGF21 was negatively associated with gestation duration and risk of preterm birth. Maternal biomarkers of EED, systemic inflammation, and the growth hormone axis were associated with birth outcomes. Further studies are needed to confirm these results and study the biologic mechanisms involved. National Institutes of Health (NICHD, NIDDK).
Quantum Tunneling Polymer Composite (2023)

These recommendations are specifically for polymers and polymer systems showing a significant response to an electromagnetic field or one of its components (electric field or magnetic field), i.e., for electromagnetic-field-responsive polymer materials. The structures, processes, phenomena and quantities relating to this interdisciplinary field of materials science and technology are herein defined. Definitions are unambiguously explained and harmonized for wide acceptance by the chemistry, physics, polymer and materials science communities. A survey of typical electromagnetic-field-responsive polymers is included.
Frequent loss of chromosome 9p21-22 early in head and neck cancer progression. (1994)

In order to define more clearly the role of chromosome 9 loss in head and neck squamous cell carcinoma (HNSCC), 29 invasive carcinomas and 17 preinvasive lesions were analyzed for loss of heterozygosity (LOH) on chromosome 9. We found LOH in 21 of 29 (72%) HNSCC tumors using highly polymorphic microsatellite markers. In 17 of 21, LOH was found at all informative sites on the p arm with no LOH of the q arm. Further mapping in tumors, with partial LOH of the 9p arm, localized a common region of loss between markers D9S165 and D9S156. Deletion of this region on chromosome 9 has been found in several other tumor types implying the presence of a tumor suppressor gene at this locus. The inactivation of a tumor suppressor gene on chromosome 9p may represent the most commonly described genetic alteration in HNSCC. A similar incidence of allelic loss on chromosome 9p was identified in 12 of 17 (71%) preinvasive lesions. The identical frequency of loss in preinvasive and invasive lesions suggests that loss of 9p is an early event in HNSCC progression.
Supplemental Figure 1 from Characterization of an Immunogenic Mutation in a Patient with Metastatic Triple-Negative Breast Cancer (2023)

&lt;p&gt;Recognition of mRNA-encoded RBPJ mutation.&lt;/p&gt;
Full multi resolution active shape model for left ventricle segmentation (2021)

This article presents the application of the full multiresolution active shape model for the segmentation of the left ventricle in ultrasound images as well as a comparison between the classical active shape model and the full multiresolution active shape model. Our objective is to evaluate the performance of the full multiresolution framework in a complex image segmentation task such as ultrasound of the left ventricle. The accuracy of this method is evaluated through the DICE coefficient between the expert annotation and the final segmentation of the full multiresolution active shape model (FMR-ASM). The validation and training data were obtained from the CAMUS database, with 100 training and 60 validation images on which we obtained a mean DICE coefficient of 0.76 with the FMR-ASM.
Remote Detection of Drift Resonance Between Energetic Electrons and Ultralow Frequency Waves: Multisatellite Coordinated Observation by Arase and Van Allen Probes (2019)

Abstract We report the electron flux modulations without corresponding magnetic fluctuations from unique multipoint satellite observations of the Arase (Exploration of Energization and Radiation in Geospace) and the Van Allen Probe (Radiation Belt Storm Probe [RBSP])‐B satellites. On 30 March 2017, both Arase and RBSP‐B observed periodic fluctuations in the relativistic electron flux with energies ranging from 500 keV to 2 MeV when they were located near the magnetic equator in the morning and dusk local time sectors, respectively. Arase did not observe Pc5 pulsations, while they were observed by RBSP‐B. The clear dispersion signature of the relativistic electron fluctuations observed by Arase indicates that the source region is limited to the postnoon to the dusk sector. This is confirmed by RBSP‐B and ground‐magnetometer observations, where Pc5 pulsations are observed to drift‐resonate with relativistic electrons on the duskside. Thus, Arase observed the drift‐resonance signatures “remotely,” whereas RBSP‐B observed them “locally.”
The role of hyperuricemia and gout in kidney and cardiovascular disease (2008)

Elevated serum urate levels are recognized as leading to gouty arthritis, tophi formation, and uric acid kidney stones. While serum urate elevations have long been associated with renal disease, they are not usually considered to have a causal role in kidney dysfunction. However, recent epidemiologic studies have identified serum urate elevations as an independent risk factor for chronic kidney disease. Hyperuricemia has also been found to be an independent risk factor for cardiovascular disease and hypertension. An animal model of mild hyperuricemia has shed new light on a potential mechanism of microvascular changes leading to endothelial dysfunction, a precursor to both coronary artery disease and hypertension. Additional animal studies and recent epidemiologic findings have provided further evidence that soluble urate is a risk factor for nonarticular disease.
Classification of fNIRS Data Using Deep Learning for Bipolar Disorder Detection (2019)

With the use of ecologically validated tools more applicable measurements can be obtained, especially of individuals who have psychological disorders. Functional Near- Infrared Spectroscopy (fNIRS) is a neural imaging method that comes into prominence for imaging patients who have psychological disorders. It is a desired method because of its feasibility, high resolution in time and its partial resistance to head movements. Following the developments in the artificial intelligence, individuals' medical data obtained from various methods are started to be used in neural networks to classify various health conditions. In this research, 1 dimensional time domain data of fNIRS, which is acquired during prepared tasks, are used to train a neural network for the diagnosis of a common mood disorder, the Bipolar Disorder. With the classification of this data, the distinguishability of ill subjects from healthy subjects is investigated by using a 1 dimensional Convolutional Neural Network (CNN), which is a feed-forward deep neural network. By means of the obtained results, it is observed that the Bipolar Disorder can be classified even during the remission period.
ChemInform Abstract: Discovery of Thioazepinone Ligands for Src SH2: From Non‐specific to Specific Binding. (2001)

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.
Apple, Prebloom Mite and Aphid Treatments, 1978 (1979)

Abstract Treatments were applied to mature York apple trees using a Bean 35 gal/min hydraulic sp/ayer operating at 540 psi to single-tree plots, replicated 5 times in a randomized, complete-block design. The trees were sprayed to runoff. The oil and Lorsban treatments were applied Apr 13. The other treatments applied Apr 25 and Jun 15; except UC55248 at 32 fl oz was not repeated on Jun 15. Captan, Phaltan, sulfur, and benomyl were used as fungicides. Azinphosmethyl was used as a general insecticide; Sevin applied as a thinning agent; and parathion was used in late Jun and early Jul for scale control. Additional materials used were Solubor and Agristrep.
Development of Ceria-supported Ruthenium Catalysts for Green Organic Transformation Processes (2013)

Solid Ru/CeO2 catalysts, which are effective for the catalysis of various highly atom-efficient organic transformations such as dehydrogenative synthesis of indole, regio- and stereo-selective coupling of unsaturated hydrocarbons, C–C bond-forming reactions via the activation of aromatic C–H bonds, and selective addition of carboxylic acids to alkynes, have been developed. For these reactions, CeO2-supported and, in some cases, ZrO2-supported catalysts show excellent activities, whereas ruthenium catalysts on other oxide supports are not effective. Spectroscopic studies have revealed that various types of catalytically active, low-valent ruthenium species are generated from ruthenium(IV) oxo species that are exclusively formed on the surface of CeO2 under appropriate conditions. These solid ruthenium catalysts can be recycled without loss of activity or significant leaching of ruthenium species into the solution, and these features, as well as the wide range of applicable reactions, make the present catalytic system quite attractive from both practical and environmental perspectives.
Esclerose Tuberosa: Achados Incomuns em Contexto de uma Doença Rara (2023)

Descrição do caso Mulher de 40 anos de idade, diagnosticada com esclerose tuberosa (ET) com um ano de idade, com déficit cognitivo, epilepsia e angiomiolipoma renal, encaminhada à consulta de cardiologia com queixas de cansaço. A paciente não tinha história familiar de ET. Embora sua mãe não conseguisse confirmar se a paciente tinha sido submetida a um teste genético, o diagnóstico de ET foi feito de acordo com os critérios revisados do International Tuberous Sclerosis Consensus Group , pela presença [...]
Increasing the energy characteristics and service life of cw industrial CO/sub 2/ electroionization lasers through the use of five-component laser mixtures (1983)

The use of five-component CO/sub 2/:CO:N/sub 2/:Ar:He laser mixtures with (CO)roughly-equal(CO/sub 2/) and (Ar)> or approx. =(He) makes it possible to produce a CO/sub 2/ electroionization laser with a physical efficiency eta approx. =13% and a specific output energy Q/sub V/approx. =2 kW/(m/sup 3/ x s) which can operate continuously for several hours. These characteristics are significantly better than those presently being achieved with conventional three-component (CO/sub 2/:N/sub 2/He) laser mixtures. (AIP)
A Survey of MulVAL Extensions and Their Attack Scenarios Coverage (2022)

Organizations employ various adversary models in order to assess the risk and potential impact of attacks on their networks. Attack graphs represent vulnerabilities and actions an attacker can take to identify and compromise an organization's assets. Attack graphs facilitate both visual presentation and algorithmic analysis of attack scenarios in the form of attack paths. MulVAL is a generic open-source framework for constructing logical attack graphs, which has been widely used by researchers and practitioners and extended by them with additional attack scenarios. This paper surveys all of the existing MulVAL extensions, and maps all MulVAL interaction rules to MITRE ATT&amp;CK Techniques to estimate their attack scenarios coverage. This survey aligns current MulVAL extensions along unified ontological concepts and highlights the existing gaps. It paves the way for methodical improvement of MulVAL and the comprehensive modeling of the entire landscape of adversarial behaviors captured in MITRE ATT&amp;CK.