gebhart/patrepeval huggingface dataset:
Multiple-site replacement analogs of glucagon. A molecular basis for antagonist design. (1994)

Extensive structure activity analysis has allowed us to identify specific residues in the glucagon sequence that are responsible for either receptor recognition or signal transduction. For instance, we have demonstrated that aspartic acid 9 and histidine 1 are essential for activation, and that an ionic interaction between the negative carboxylate and the protonated imidazole may contribute to the activation reaction at the molecular level. In the absence of the carboxylic group at position 9, aspartic 21 or aspartic 15 might furnish distal electrostatic effects to maintain partial agonism. Further investigation established that each of the 4 serine residues in the hormone play distinct roles. Serine 8 provides an important determinant of binding. Whereas neither serines 2, 11, nor 16 are required for receptor recognition. We have shown that serine 16 is essential for signal transduction and thus have identified it to be the third residue in glucagon to participate in a putative catalytic triad together with aspartic 9 and histidine 1, in the transduction of the glucagon response. In this work, we utilized insights into the functional significance of particular residues in the peptide appropriated from our structure-function assignments, as the basis of a molecular approach for the design of active-site directed antagonists of glucagon. The importance as well as the accuracy of our findings are confirmed by the synthesis of a series of improved glucagon antagonists based on replacements at positions 1, 9, 11, 16, and 21. The inhibition index, (I/A)50, of our best antagonist des-His1-[Nle9-Ala11-Ala16]glucagon amide, has been improved 10-fold over the previous best glucagon inhibitor.
Recent progress in the NDE of cast ship propulsion components (2014)

The failure of propulsion components of ships and ferries can lead to serious environmental and economic damage or even the loss of lives. For ultrasonic inspection of such large components we employ mechanized scanning and defect reconstruction using the Synthetic Aperture Focusing Technique (SAFT). We report on results obtained in view of the detection of defects with different inspection techniques. Also, we address the issue of Probability of Detection by reporting results obtained in POD and MAPOD-studies (Model-Assisted POD) using experimental and simulated data. Finally, we show recent results of surface and sub-surface inspection using optical and eddy current techniques.
Use of Ziprasidone in Parkinsonian Patients With Psychosis (2005)

Twelve patients with Parkinson disease and psychosis were included in an open-label 12-week trial of ziprasidone. Two patients withdrew from the treatment because of adverse effects. The remaining 10 patients reported a significant improvement in psychiatric symptoms. Altogether, there was no deterioration of motor symptoms (UPDRS III score: basal 40.4 +/- 11.1, first month 41.1 +/- 10.8; final visit, 37.7 +/- 13.3). Two patients (20%) suffered a slight deterioration in motor symptoms and another patient suffered deterioration of gait. No analytic alterations or serious adverse effects that could limit the use of ziprasidone were observed. Although controlled trials are needed, the findings suggest that ziprasidone may be effective in parkinsonian patients with psychosis.
A case-control study on risk factors of intracranial tumors. (2010)

Objective To analyze the relationship between exposures and intracranial tumors. Methods A hospitalbased case-control study including 264 cases of intracranial tumors and 273 controls was carried out and logistic regression model was used to explore the potential risk factors of intracranial tumors. Results According to univariate and multivariate logistic regression models,passive smoking from spouse and colleagues,occupational touching gasoline or diesel fuel,and using an insecticide usually increased the risk of intracranial tumors,while alcohol consumption and beer alcohol consumption less than 9 mL /d decreased the risk. The OR and 95% CI of these factors were 1. 777(1. 103, 2. 861),1. 911(1. 095,3. 334),4. 298(1. 008,18. 314),1. 728(1. 000,3. 049),0. 297(0. 108,0. 821) and 0. 216 (0. 046,1. 024). Conclusion Risk factors of intracranial tumors are passive smoking from spouse and colleague, touching gasoline,diesel fuel and insecticides,and protective factors are alcohol consumption and beer alcohol consumption less than 9mL /d.
Eccentric Exercise (2014)

Eccentric muscle contraction, during which a muscle lengthens while under tension, is a fundamental process of human movement but a surprisingly under-researched area of exercise science. Evidence suggests that training programmes which incorporate both eccentric and concentric contractions can result in greater strength gains than concentric contractions alone, and this clearly has important implications for training and rehabilitation in sport and health. In Eccentric Exercise, leading international sport scientist Hans Hoppeler introduces the fundamental physiology and pathophysiology of eccentric muscle work, and explores the key applications of eccentric exercise in sport, rehabilitation and health. The book examines the molecular mechanisms responsible for tissue and organismic adaptations and discusses eccentric muscle-related pathology, specifically delayed onset muscle soreness. It assesses the use of eccentric exercise training in the treatment of certain disease states such as chronic obstructive pulmonary disease, heart insufficiency and sarcopenia, while a concluding chapter points to open research questions, shows the limits of the available data and highlights problems with current exercise modalities. This book is important reading for all sport and exercise scientists, clinicians working in rehabilitation, and high-level strength and conditioning coaches and trainers.
Distributed user authentication in wireless LANs (2009)

An increasing number of mobile devices, including smartphones, use WLAN for accessing the Internet. Existing WLAN authentication mechanisms are either disruptive, such as presenting a captive web page prompting for password, or unreliable, enabling a malicious user to attack a part of operator's infrastructure. In this paper, we present a distributed authentication architecture for WLAN users providing instant network access without manual interactions. It supports terminal mobility across WLAN access points with the Host Identity Protocol (HIP), at the same time protecting the operator's infrastructure from external attacks. User data sent over a wireless link is protected by the IPsec ESP protocol. We present our architecture design and implementation experience on two OpenWrt WLAN access points, followed by measurement results of the working prototype. The system is being deployed into pilot use in the city-wide panOULU WLAN.
Between even and odd: probing the CP nature of the Higgs-top Yukawa coupling (2022)

As we enter the era of precision at the LHC, excluding specific charge-parity (CP) scenarios is no longer enough: we want to detect and precisely measure the angle that determines the possible admixture of CP-even and CP-odd components in the Higgs-top Yukawa coupling. The Higgs boson production in association with top-quarks (ttH and tH), in the H to bb decay channel, offers a unique possibility to study this interaction, since it depends only on Yukawa couplings and relies on the tree-level couplings between the Higgs and the fermions. Targeting events where one or both top quarks decay leptonically provides a handle to reconstruct the top-quarks, whose four-momenta can be used to construct CP-sensitive observables. In this communication, the first measurement of the CP-mixing angle in the ttH(H->bb) channel using the full Run 2 dataset collected by the ATLAS experiment will be presented.
Optimization speed and fair sets of functions (2010)

The Sharpened No Free Lunch theorem states that all optimization algorithms have the same performance on sets of functions that are closed under permutation, independently of the considered performance measure. However, not all performance measures are informative on how fast or how accurately an algorithm can solve a given problem. In this paper we focus on a particular performance measure, called optimization speed, that quantifies how fast a search algorithm is able to find an optimal solution, and we try to characterize the set of functions on which all possible search algorithms have the same optimization speed. We call fair these sets, and we prove some results about their structure, the number of such sets and the computational complexity of checking fairness.
Electrospray ionization mass spectrometry fingerprinting of whisky: immediate proof of origin and authenticity (2005)

Authentic samples of whisky produced in Scotland and USA and counterfeit whisky samples commercialized in Brazil have been directly submitted to electrospray ionization mass spectrometry (ESI-MS) analysis in both the negative and positive ion modes to assess the potential of this technique for simple and rapid quality control and proof of authenticity of whisky samples. ESI in the negative ion mode yields the most characteristic whisky fingerprinting mass spectra in just a few seconds by direct infusion of the samples, detecting the most polar or acidic components of each sample in their deprotonated anionic forms. No pre-treatment of the sample, such as extraction or derivatization or even dilution, is required. The analysis of the ESI(-)-MS data both by simple visual inspection but more particularly by chemometric data treatment enables separation of the whisky samples into three unequivocally distinct groups: Scotch, American and counterfeit whisky, whereas single malt and blended Scotch whiskies are also distinguished to some extent. As indicated by ESI-MS/MS analysis, the diagnostic anions are simple sugars, disaccharides and phenolic compounds. Direct infusion ESI-MS therefore provides immediate chemical fingerprinting of whisky samples for type, origin and quality control, as demonstrated herein for American, Scottish and counterfeit samples, whereas ESI-MS/MS analysis of diagnostic ions adds a second dimension of fingerprinting characterization when improved selectivity is desired.
Adaptive unwrapping for interactive texture painting (2001)

Article Adaptive unwrapping for interactive texture painting Share on Authors: Takeo Igarashi Brown Univ., Providence, RI Brown Univ., Providence, RIView Profile , Dennis Cosgrove Carnegie-Mellon Univ., Pittsburgh, PA Carnegie-Mellon Univ., Pittsburgh, PAView Profile Authors Info & Claims I3D '01: Proceedings of the 2001 symposium on Interactive 3D graphicsMarch 2001 Pages 209–216https://doi.org/10.1145/364338.364404Online:01 March 2001Publication History 56citation1,290DownloadsMetricsTotal Citations56Total Downloads1,290Last 12 Months41Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation (2019)

Machine learning and, more specifically, deep learning algorithms have seen remarkable growth in their popularity and usefulness in the last years. This is arguably due to three main factors: powerful computers, new techniques to train deeper networks and larger datasets. Although the first two are readily available in modern computers and ML libraries, the last one remains a challenge for many domains. It is a fact that big data is a reality in almost all fields nowadays, and geosciences are not an exception. However, to achieve the success of general-purpose applications such as ImageNet - for which there are +14 million labeled images for 1000 target classes - we not only need more data, we need more high-quality labeled data. When it comes to the Oil&amp;Gas industry, confidentiality issues hamper even more the sharing of datasets. In this work, we present the Netherlands interpretation dataset, a contribution to the development of machine learning in seismic interpretation. The Netherlands F3 dataset acquisition was carried out in the North Sea, Netherlands offshore. The data is publicly available and contains pos-stack data, 8 horizons and well logs of 4 wells. For the purposes of our machine learning tasks, the original dataset was reinterpreted, generating 9 horizons separating different seismic facies intervals. The interpreted horizons were used to generate approximatelly 190,000 labeled images for inlines and crosslines. Finally, we present two deep learning applications in which the proposed dataset was employed and produced compelling results.
Revalorization of Microalgae Biomass for Synergistic Interaction and Sustainable Applications: Bioplastic Generation (2022)

Microalgae and cyanobacteria are photosynthetic microorganisms' sources of renewable biomass that can be used for bioplastic production. These microorganisms have high growth rates, and contrary to other feedstocks, such as land crops, they do not require arable land. In addition, they can be used as feedstock for bioplastic production while not competing with food sources (e.g., corn, wheat, and soy protein). In this study, we review the macromolecules from microalgae and cyanobacteria that can serve for the production of bioplastics, including starch and glycogen, polyhydroxyalkanoates (PHAs), cellulose, polylactic acid (PLA), and triacylglycerols (TAGs). In addition, we focus on the cultivation of microalgae and cyanobacteria for wastewater treatment. This approach would allow reducing nutrient supply for biomass production while treating wastewater. Thus, the combination of wastewater treatment and the production of biomass that can serve as feedstock for bioplastic production is discussed. The comprehensive information provided in this communication would expand the scope of interdisciplinary and translational research.
Fab@Home Model 2: Towards Ubiquitous Personal Fabrication Devices (2009)

The open-architecture, open-source Fab@Home platform has proven to be an important system within the SFF community. In order to facilitate wider spread of the Fab@Home platform and SFF throughout the world, we aimed to improve critical aspects of the system, and business model. By changing the electronics package and streamlining the mechanics, the cost of the system was brought from $2500 to $1600. By changing the business model we hope to transform the SFF market and spur innovation.
HEMORRHAGIC SHOCK RESUSCITATION IS ASSOCIATED WITH AN UPREGULATION OF TRANSCRIPTION OF APOPTOSIS-ASSOCIATED PROTEINS IN THE RAT LUNG. (2001)

Migaly, J; Leeser, D B; Xu, B; Buckman, R F; Platsoucas, C D; Badellino, M M Author Information
Shack-Hartmann wavefront sensor for testing the quality of the optics of the 2.5-m SAI telescope (2009)

A Shack-Hartmann wavefront sensor for testing the quality of telescope optics based on observations of stars has been developed and constructed. Results of laboratory tests of the sensor and test data obtained on the 70-cm telescope of the Sternberg Astronomical Institute are presented. Estimates of the quality of the optics and of the mirror support of the main mirror of the telescope have been obtained.
Basket anode filled with CaCO3 particles: A membrane-free electrochemical system for boosting phosphate recovery and product purity (2023)

Phosphorus (P) is often regarded as the primary stimulant for eutrophication, while its importance as a crucial life element is also well acknowledged. Given its future scarcity, P recycling from waste streams is suggested and practiced. Electrochemically mediated precipitation (EMP) is a robust and chemical-free process for P removal and recovery, yet it requires further developments. The first generation of the CaCO<sub>3</sub>-packed electrochemical precipitation column successfully solved the problem of H<sup>+</sup>-OH<sup>-</sup> recombination, achieving enhanced P removal efficiency with less energy consumption but suffering from low Ca-phosphate purity in recovered products. Herein, a new concept of a basket-anode electrochemical system is proposed and validated to prevent direct H<sup>+</sup>-OH<sup>-</sup> recombination and enhance product purity. The CaCO<sub>3</sub> pellets packed basket anode alleviates the OH<sup>-</sup> depletion by CaCO<sub>3</sub>-H<sup>+</sup> interaction and provides extra Ca<sup>2+</sup> for enhanced P removal. The novel structure of the basket anode, by its derived acidic anode region and alkaline cathode region, completely avoids the precipitation of Ca-phosphate on the packed CaCO<sub>3</sub> and greatly facilitates the collection of high-quality Ca-phosphate product. Our results suggest that almost 100% of the removed P was in high-purity, highly crystalline Ca-phosphate on the cathode. The recovered products contained significantly more P (13.5 wt%) than in the previous study (0.1 wt%) at similar energy consumptions (29.8 kWh/kg P). The applied current density, pellets size, and influent P concentration were critical for P removal performance, product purity, and power consumption. We further demonstrated the long-term stability of this novel system and its technical and economic feasibility in treating real stored urine. Our study provides new cell architectural designs to enhance the performance of EMP systems and may inspire innovations and developments in other electrochemical water treatment processes.
A Methodology for Springback Prediction (2001)

The springback of simple geometries can be predicted through theoretical analysis, however problems arise when transferring this analysis to the manufacturing environment. To determine why this is the case, a study of small curvature free bending through theoreticalanalysis, manufacturing data and Finite Element (FE)simulation was completed.The theoretical analysis provided an understanding of the behavior of springback and gave accurate predictions in a controlled environment. The manufacturing and Finite Element data verified the trends predicted by theory, but lacked in accuracy. The paper concludes by proposing a prediction method based solely on the geometry that is well defined in both environments.
Information-Theoretic Compressive Measurement Design for Micro-Doppler Signatures (2020)

In this work, we utilise gradient-ascent multi-objective optimisation within an information-theoretic compressive sensing framework to classify micro-Doppler (m-D) signatures in the presence of structured input noise. The proposed framework has the potential to simultaneously detect the class of a primary source exhibiting m-D features in its radar return and the class of a secondary, coincident source with its own m-D signature. We demonstrate through simulations with real radar return data that there is a configurable trade-off between the classification accuracies for the two sources and that, given a sufficient number of compressive measurements, the performance for the secondary source can be improved without substantially impacting the classification accuracy for the primary source.
Attitude Control of Spacecraft Formation under Directional Constraints (2021)

In order to solve the problem of large-angle and high-precision reorientation of spacecraft under external directional constraints, a spacecraft attitude control method is proposed. Firstly, a strictly lower convex logarithmic boundary potential function is designed based on the formation member’s attitude; then a new sliding mode surface is designed to meet the attitude and the angular velocity amplitude constraints, and the switching strategy of intermediate variables is proposed based on the existence condition of the repulsive potential function, and then the adaptive coordination tracking controller under the saturation of the actuator is designed. Finally, the effectiveness of the design is verified by simulation analysis.
Introduction to Research Topic – Brain Connectivity Analysis: Investigating Brain Disorders. Part 1: The Review Articles (2012)

EDITORIAL article Front. Syst. Neurosci., 13 February 2012 | https://doi.org/10.3389/fnsys.2012.00003
The intestinal distribution pattern of appetite- and glucose regulatory peptides in mice, rats and pigs (2016)

In summary, the distribution patterns of extractable GIP, GLP-1, GLP-2, oxyntomodulin/glicentin, neurotensin are preserved across species whereas PYY distribution showed marked differences.
Draft Genome Sequence of Pseudoalteromonas sp. Strain NW 4327 (MTCC 11073, DSM 25418), a Pathogen of the Great Barrier Reef Sponge Rhopaloeides odorabile (2014)

To date, only one marine sponge pathogen (Pseudoalteromonas sp. strain NW 4327) has fulfilled Koch's postulates. We report the 4.48-Mbp draft genome sequence of this strain, which is pathogenic to the Great Barrier Reef sponge Rhopaloeides odorabile. The sequence provides valuable information on sponge-pathogen interactions, including the mode of transmission and associated virulence factors.
Scanning near-field optical microscopy-based study of local dynamics of receptor-ligand interactions at the single molecule level (2009)

A scanning near-field optical microscope (SNOM)—based modification of the method to study the dynamics of single molecule receptor—ligand interactions exploiting the fluorescence imaging by total internal reflection fluorescence microscopy is introduced. The main advantage of this approach consists in the possibility to study the single molecule interaction dynamics with a subwavelength spatial resolution and a submillisecond time resolution. Additionally, due to the much smaller irradiation area and some other technical features, such a modification enables to enlarge the scope of the receptor—ligand pairs to be investigated and to improve the temporal resolution. We briefly discuss corresponding experimental set up with a special accent on the SNOM operation in liquid and present some preliminary results of related investigations.
An efficient production scheduling based on queuing theory in systems with synchronous part transfer during a demand response event (2017)

Due to increased energy costs, manufacturing sectors are investigating viable options to optimize production while minimizing energy costs. Demand response provides one such option to tackle the problems. The objective of this paper is to propose a solution for synchronous part transfer to have higher production rate under demand response available power constraint. To attain our objectives, we first model a synchronous part transfer line using queuing theory to characterize temporal behaviors such as arrival and departure of parts, and utilization of stations (or machines). Then, we propose an efficient scheduling algorithm that provides an optimal schedule taking into account the available power. We also provide illustrating examples and analytical and simulation results to show the performance of the proposed algorithm.