246 research outputs found
sj-docx-1-npx-10.1177_1934578X231168481 - Supplemental material for Volatile Components and Biological Activities of <i>n</i>-Hexane Extract From Rhizomes of <i>Homalomena cochinchinensis</i>
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X231168481 for Volatile Components and Biological Activities of n-Hexane Extract From Rhizomes of Homalomena cochinchinensis by Linh Thuy Khanh Nguyen, Phu Quynh Dinh Nguyen, Nghia Ai Thi Doan, Chau Bao Hoai Nguyen, Tuan Quoc Doan, Linh Thuy Thi Tran, Hoai Thi Nguyen and Duc Viet Ho in Natural Product Communications</p
sj-docx-1-npx-10.1177_1934578X231175263 - Supplemental material for Phytochemical Composition and Bioactivities of Essential Oils from Rhizomes of <i>Homalomena pendula</i> and <i>Homalomena cochinchinensis</i>
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X231175263 for Phytochemical Composition and Bioactivities of Essential Oils from Rhizomes of Homalomena pendula and Homalomena cochinchinensis by Linh Thuy Khanh Nguyen, Tuan Quoc Doan and
Phu Quynh Dinh Nguyen, Chau Bao Hoai Nguyen, Linh Thuy Thi Tran, Thi Van Anh Tran, Hoai Thi Nguyen, Duc Viet Ho in Natural Product Communications</p
sj-docx-1-npx-10.1177_1934578X231191636 - Supplemental material for New Sesterterpenoid from the Marine Fungus <i>Penicillium oxalicum</i> M893
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X231191636 for New Sesterterpenoid from the Marine Fungus Penicillium oxalicum M893 by Thi Hoang Anh Nguyen, Thi Quynh Do, Thuy Linh Nguyen and
Hong Minh Le Thi, Mai Anh Nguyen, Brian T Murphy,
Thanh Xuan Dam, Doan Thi Mai Huong, Pham Van Cuong in Natural Product Communications</p
Fluid flux in fractured rock of the Alpine fault hanging-wall determined from temperature logs in the DFDP-2B borehole, New Zealand
No full textSixteen temperature logs were acquired during breaks in drilling of the 893m-deep DFDP-2B borehole, which is in the Alpine Fault hanging-wall. The logs record various states of temperature recovery after thermal disturbances induced by mud circulation. The long-wavelength temperature signal in each log was estimated using a sixth-order polynomial, and residual (reduced) temperature logs were analyzed by fitting discrete template wavelets defined by depth, amplitude, and width parameters. Almost two hundred wavelets are correlated between multiple logs. Anomalies generally have amplitudes <1°C, and downhole widths <20m. The largest amplitudes are found in the first day after mud circulation stops, but many anomalies persist with similar amplitude for up to 15 days. Our models show that thermal and hydraulic diffusive processes are dominant during the first few days of re-equilibration after mud circulation stops, and fluid advection of heat in the surrounding rock produces temperature anomalies that may persist for several weeks. Models indicate that the fluid flux normal to the borehole within fractured zones is of order 10−7 to 10−6 m s−1, which is 2–3 orders of magnitude higher than the regional flux. Our approach could be applied more widely to boreholes, as it uses the thermal re-equilibration phase to derive useful information about the surrounding rock mass and its fluid flow regime.</p
Determination of stress state in deep subsea formation by combination of hydraulic fracturing in situ test and core analysis: A case study in the IODP Expedition 319
No full text[1] In situ test of hydraulic fracturing (HF) provides the only way to observe in situ stress magnitudes directly. The maximum and minimum horizontal stresses, SHmax and Shmin, are determined from critical borehole pressures, i.e., the reopening pressure Pr and the shut-in pressure Ps, etc, observed during the test. However, there is inevitably a discrepancy between actual and measured values of the critical pressures, and this discrepancy is very significant for Pr. For effective measurement of Pr, it is necessary for the fracturing system to have a sufficiently small compliance. A diagnostic procedure to evaluate whether the compliance of the employed fracturing system is appropriate for SHmax determination from Pr was developed. Furthermore, a new method for stress measurement not restricted by the system compliance and Pr is herein proposed. In this method, the magnitudes and orientations of SHmax and Shmin are determined from (i) the cross-sectional shape of a core sample and (ii) Ps obtained by the HF test performed near the core depth. These ideas were applied for stress measurement in a central region of the Kumano fore-arc basin at a water depth of 2054?m using a 1.6?km riser hole drilled in the Integrated Ocean Drilling Program (IODP) Expedition 319. As a result, the stress decoupling through a boundary at 1285?m below seafloor was detected. The boundary separates new upper layers and old lower ones with an age gap of ~1.8?Ma, which is possibly the accretionary prism. The stress state in the lower layers is consistent with that observed in the outer edge of accretionary prism
Integration of borehole geophysical data and core petrophysical properties to model hydrogeological properties of the Nankai subduction zone
No full textLes zones de subduction sont le site d’une intense activité sismique et de grandedéformation tectonique. Le pied du prisme d’accrétion ont été longtemps considéréescomme des zones asismiques où l’énergie des séismes de dissipait. Mais récemment,des mégaséismes ont activés des grands déplacement près de fosses de subduction,générant des tsunamis dévastateurs. Il est important de mieux comprendre la sismotectonique de ces zones. La zone de subduction de Nankai est l’un des sitesd’étude les plus propices: outre le risque sismique que représentent les mégaséismes(Mw > 8) pour les côtes japonaises densément peuplées, c’est également le lieu deglissements lents. C’est ce qui a motivé le projet NanTroSEIZE, un projet phare duprogramme IODP (International Ocean Discovery Program), concrétisé par treizeexpéditions de 2004 à 2019. Une compréhension détaillée du régime hydraulique estnécessaire pour comprendre la diversité de comportement à Nankai. Des preuvesindirectes suggèrent que cette zone de subduction est particulière riche en fluide.Pour affiner ces conclusions, nous intégrons de manière innovante les données deforage et de diagraphie acquises dans le cadre du projet NanTroSEIZE, dans larégion frontale (sites C0024 et C0006) et dans la région de la faille ”mégasplay”(sites C0004 et C0001). Nous obtenons un profil des propriétés hydrauliques à hauterésolution le long des forages NanTroSEIZE, pour caractériser finement l’architecturedes failles dans la zone de subduction de Nankai. La ré-analyse de la pression de boue permet d'estimerl’afflux de fluides de la formation vers le forage. Pour vérifier ses prédictions, 2méthodes ont été utilisées pour prédire la pression de pore : (a) des méthodes de typeEaton basées sur des données de foration ou des données sismiques (b) des relationsempiriques entre pression de pore, porosité et vitesse des ondes P, obtenues à partird’expériences de consolidation. On peut calculer des perméabilités en combinant estimations de flux et de pression. Sur le site C0024, un afflux de fluides (> 0.05m3/s)est localisé dans les zones endommagées du décollement, à 813 mbsf. Elle est associéeà une surpression importante (P ∗≈2.38 − 4.79M P a) sous la frontière de plaque. Ledécollement agit comme une barrière hydraulique verticale, mais comme un drainlongitudinal qui diffuse des surpressions depuis le site où se produisent les séismes etles glissements lents Au contraire, au site C0006, les afflux de fluide restent faibles, etlocalisés juste sous le chevauchement frontal, à 711 mbsf. Il n’y a pas d’augmentation apparente de la pression interstitielle à l’intérieur du prisme d’accrétion, peut-être carune faille entre C0024 et C0006 draine les fluides surpressurisés. Dans la région dela faille mégasplay, au site C0001D, l’écoulement majeur de fluide (> 0, 107m3/s)est observé le long d’une zone de faille en dessous de 500 mbsf. La pression de boueobservée est supra-lithostatique. Sur le site C0004A, un important écoulement defluide (0.07 m3/s) et une pression interstitielle élevée sont également observés dansla zone de faille, vers 310 m de profondeur. L’important débit de fluide témoigned’une pression interstitielle élevée, facilitant ainsi la propagation du glissement cosismique vers le plancher océanique. La région de mégasplay est alors plus propiceque la région du pied du prisme pour générer des séismes tsunamigéniques.Subduction zones are the loci of active seismicity and large tectonic deformation.The foot of the accretionary prism has long been considered as aseismic zones whereearthquake energy dissipates, but recently, mega-earthquakes have activated largedisplacements near subduction trenches, generating devastating tsunamis. It is important to better understand the seismotectonics of these zones. The Nankai subduction zone is one of the most suitable study sites: in addition to the seismic hazardof mega-earthquakes (M w > 8) for densely populated Japanese coasts, it is also thesite of slow slip. This was the motivation for the NanTroSEIZE project, a flagshipproject of the International Ocean Discovery Program (IODP), which consisted of13 expeditions from 2004 to 2019. A detailed understanding of the hydraulic regimeis needed to understand the diversity of behavior at Nankai. Indirect evidence sug-gests that this subduction zone is particularly fluid-rich. To refine these conclusions,we innovatively integrate drilling and logging data acquired in the NanTroSEIZEproject, in the frontal region (sites C0024 and C0006) and in the ”megasplay” faultregion (sites C0004 and C0001). We obtain a high-resolution hydraulic propertiesprofile along the NanTroSEIZE drillings, to finely characterize the fault architecturein the Nankai subduction zone. This will help to estimate: (a) pore pressure profilesacross the accretionary prism (b) high-resolution hydraulic profiles to identify thedamaged zone around the detachment fault, and verify whether it is a significantdrainage path. (c) permeability evolution. This allows inferring the origin of thefluids (diffusion along the décollement or local fluid emission following compactionof the sedimentary pile), and extrapolating the data near the pit to deeper seismically active zones. Mud pressure reanalysis allows us to estimate the inflow of fluidsfrom the formation to the borehole. To verify its predictions, 2 methods have beenused to predict pore pressure: (a) Eaton-type methods based on drilling or seismicdata (b) empirical relationships between pore pressure, porosity, and P-wave velocity, obtained from consolidation experiments. Permeabilities can be calculated bycombining flow and pressure estimates. At site C0024, a fluid influx (> 0.05m3/s)is localized in the damaged zones of the décollement at 813 mbsf. It is associatedwith a significant overpressure (P ∗≈2.38 − 4.79 MPa) below the plate boundary.The décollement acts as a vertical hydraulic barrier, but as a longitudinal drainthat diffuses overpressures from the site where earthquakes and slow slides occur.In contrast, at site C0006, fluid influxes remain weak, and localized just below the frontal thrust at 711 mbsf. There is no apparent increase in pore pressure within theaccretionary prism, perhaps because a fault between C0024 and C0006 drains theoverpressurized fluids. In the region of the megasplay fault at site C0001D, majorfluid flow (> 0.107m3/s) is observed along a fault zone below 500 mbsf. The observedmud pressure is supra-lithostatic. At site C0004A, a large fluid flow (0.07m3/s) andhigh pore pressure are also observed in the fault zone at about 310 m depth. Thelarge fluid flow is evidence of high pore pressure, facilitating propagation of the co-seismic slip to the seafloor. The megasplay region is then more favorable than thefoot of the prism region for generating tsunamigenic earthquakes
Forecasting energy output of a solar power plant in curtailment condition based on LSTM using P/GHI coefficient and validation in training process, a case study in Vietnam
No full textThis study presents how to improve the short-term forecast of photovoltaic plant's output power by applying the Long Short-Term Memory, LSTM, neural networks for industrial-scale solar power plants in Vietnam under possible curtailment operation. Since the actual output power does not correspond to the available power, new techniques (Global Horizontal Irradiance - GHI interval division, P/GHI factor addition (P - Power)) have been designed and applied for processing errors and missing data. The prediction model (LSTM network, structure of hidden layers, number of nodes) has been developed by the authors in a previous work. In this new version of the model, the training technique is improved by using validation and experiments to determine the appropriate relevant parameters. The forecast results show that the proposed new method is more efficient than the old method, as the MAPE (Mean Absolute Percentage Error) forecast error is reduced by 6.059% and the RMSE (Root Mean Square Error) is reduced by 6.710%
P. falciparum predictions
No full textAbout this dataset: These are the most reliable 50,000 PPI predictions for P. falciparum. It is a CSV file.Motivation: Protein-protein interactions (PPIs) play a key role in many cellular processes. Most annotations of PPIs mix experimental and computational data. The mix optimizes coverage, but obfuscates the annotation origin. Some resources excel at focusing on reliable experimental data. Here, we focused on new pairs of interacting proteins for several model organisms based solely on sequence-based prediction methods. Results: We extracted reliable experimental data about which proteins interact (binary) for eight diverse model organisms from public databases, namely from Escherichia coli, Schizosaccharomyces pombe, Plasmodium falciparum, Drosophila melanogaster, Caenorhabditis elegans, Mus musculus, Rattus norvegicus, Arabidopsis thaliana, and for the previously used Homo sapiens and Saccharomyces cerevisiae. Those data were the base to develop a PPI prediction method for each model organism. The method used evolutionary information through a profile-kernel Support Vector Machine (SVM). With the resulting eight models, we predicted all possible protein pairs in each organism and made the top predictions available through a web application. Almost all of the PPIs made available were predicted between proteins that have not been observed in any interaction, in particular for less well-studied organisms. Thus, our work complements existing resources and is particularly helpful for designing experiments because of its uniqueness. Experimental annotations and computational predictions are strongly influenced by the fact that some proteins have many partners and others few. To optimize machine learning, the newly methods explicitly ignored such a network-structure. This might be another strength of our approach. The database interface representing our results is accessible from https://rostlab.org/services/ppipair/.Please cite us when you are using this data:@article{tran2018profppidb,
title={ProfPPIdb: pairs of physical protein-protein interactions predicted for entire proteomes},
author={Tran, Linh and Hamp, Tobias and Rost, Burkhard},
journal={bioRxiv},
pages={332510},
year={2018},
publisher={Cold Spring Harbor Laboratory}
}</pre
The impact of leverage on stock returns: an empirical test on the Australian stock market
No full textAsset pricing model is no longer a new topic to theoretical finance but it still maintains researchers’ interest until now. The role of firm characteristics in explaining the stock returns becomes more and more significant in the empirical studies. The Fama French three factor is the most famous model of testing the firm characteristics: size effect and book to market effect on stock returns. However, this model does not include leverage, one of the most important firm characteristics. Starting from this idea, the study is conducted to examine the relationship between stock returns and leverage along with measuring the leverage’s contribution to the model’s explanatory power. Data consists of 50 companies in the S&P/ASX 200 index of Australian Stock Exchange over the period 2005-2009. It is found that there is a significantly negative relationship between leverage and stock returns. Nonetheless, the test of explanatory power reports that leverage does not contribute to the explanatory power of the model
The impact of leverage on stock returns: an empirical test on the Australian stock market
No full textAsset pricing model is no longer a new topic to theoretical finance but it still maintains researchers’ interest until now. The role of firm characteristics in explaining the stock returns becomes more and more significant in the empirical studies. The Fama French three factor is the most famous model of testing the firm characteristics: size effect and book to market effect on stock returns. However, this model does not include leverage, one of the most important firm characteristics. Starting from this idea, the study is conducted to examine the relationship between stock returns and leverage along with measuring the leverage’s contribution to the model’s explanatory power. Data consists of 50 companies in the S&P/ASX 200 index of Australian Stock Exchange over the period 2005-2009. It is found that there is a significantly negative relationship between leverage and stock returns. Nonetheless, the test of explanatory power reports that leverage does not contribute to the explanatory power of the model
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