103,980 research outputs found
BiBERT-AV: enhancing authorship verification through Siamese networks with pre-trained BERT and Bi-LSTM
No full textAuthorship verification is a challenging problem in natural language processing. It is crucial in security and forensics, helping identify authors and combat fake news. Recent advancements in neural network models have shown promising results in improving the accuracy of authorship verification. This paper presents a novel model for authorship verification using Siamese networks and evaluates the advantages of transformer-based models over existing methods that rely on domain knowledge and feature engineering. This paper’s objective is to address the authorship verification problem in NLP which entails determining whether two texts were written by the same author by introducing a novel approach that employs Siamese networks with pre-trained BERT and Bi-LSTM layers. The proposed model BiBERT-AV aims to compare the performance of this Siamese network using pre-trained BERT and Bi-LSTM layers against existing methods for authorship verification. The results of this study demonstrate that the proposed Siamese network model BiBERT-AV offers an effective solution for authorship verification that is based solely on the writing style of the author, which outperformed the baselines and state-of-the-art methods. Additionally, our model offers a viable alternative to existing methods that heavily rely on domain knowledge and laborious feature engineering, which often demand significant time and expertise. Notably, the BiBERT-AV model consistently achieves a notable level of accuracy, even when the number of authors is expanded to a larger group. This achievement underscores a notable contrast to the limitations exhibited by the baseline model used in exacting research studies. Overall, this study provides valuable insights into the application of Siamese networks with pre-trained BERT and Bi-LSTM layers for authorship verification and establishes the superiority of the proposed models over existing methods in this domain. The study contributes to the advancement of NLP research and has implications for several real-world applications.</p
Methodology used on board to prepare samples from the Tara Oceans Expedition (2009-2013)
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides methodological context about the sampling and on-board-preparation of samples during the Tara Oceans Expedition (2009-2013). For each sample, we provide details about the standard protocols (i.e. Sample Method) as well as deviations from these protocols (i.e. Sample Comment). We also provide URLs to related data, sampling logsheets, campaign summary reports, oceanographic reports, and step-by-step protocols
Navigation and meteorological data during campaign TARA_20120126Z of the Tara Oceans expedition 2009-2013
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present dataset contains navigation and meteorological data measured during one campaign of the Tara Oceans Expedition. Latitude and Longitude were obtained from TSG data
Maktabat Al Muthanna Baghdad Feb-May 1962
No full textOn the same date, Ali Al-Mansouri issued an official financial statement confirming that the Al-Khanji Foundation owed a total of 11.375.أصدر علي المنصوري بيانًا ماليًا رسميًا بتاريخ 25 نيسان 1962 يُفيد بأن مؤسسة الخانجي مدينة بمبلغ إجمالي قدره 11,375
Methodology used in the lab for molecular analyses and links to the Sequence Read Archive of selected samples from the Tara Oceans Expedition (2009-2013)
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides URLs to sequence read files available from samples analysed to date, along with their corresponding contextual data and sequencing methods described in details in the companion data article
Navigation and meteorological data during Tara Oceans expedition 2009-2013
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. During the entire expedition (2009-2013), underway measurements were obtained from a meteorological station (BATOS), a thermosalinograph (TSG, SBE 45), a Fast Repetition Rate Flurometer (FRRF, LIFT-FRR01), and a spectrophotometer (WETLabs AC-S). In 2013 underway measurements were enhanced by adding a Photosynthetically Available Radiation (PAR) sensor (QCP2350, Biospherical Instruments, Inc.), a laser spectrofluorometer (WETLabs ALFA, Chekalyuk et al., 2012) that replaced the FRRF, a spectral backscattering sensor (WETLabs Eco-bb3), a pCO2 sensor (ProOceanus CO2-Pro), a pH sensor (Satlantic, SeaFET) and a particle imaging system triggered by chlorophyll-a fluorescence (a prototype of McLane Research Laboratories' Imaging FlowCytobot, Sosik Lab, WHOI). Discrete measurements of CDOM absorption measurements were made using an Ultrapath (WPI Inc.) to calibrate the in-line AC-S. Hence the AC-S was also used to provide CDOM absorption in addition to particulate matter properties.
The present dataset contains navigation and meteorological data measured during the 2009-2013 campaigns of the Tara Oceans Expedition. Latitude and Longitude were obtained from TSG data. The time stamp of this data set is harmonised with that of other underway data in this collection
Environmental context of all samples from the Tara Oceans Expedition (2009-2013), about carbonate chemistry in the targeted environmental feature
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides environmental context to all samples from the Tara Oceans Expedition (2009-2013), about carbonate chemistry in the targeted environmental feature. Total alkalinity (AT) and total carbon (CT) were measured potentiometrically (Edmond 1970), and other carbonate chemistry parameters (pH on total scale, CO2, pCO2, fCO2, HCO3, CO3, OmegaAragonite and OmegaCalcite) were calculated using seacarb (Nisumaa et al. 2010). For each parameter we provide six statistics about all observations that are considered adequate to characterise the targeted environmental feature: number of observations, minimum, first quartile (25 percentile), median, third quartile (75 percentile), and maximum values. Observations were considered adequate if they met the following criteria: <100 km from the sampling location, <2 days from the sampling date/time, and within 10 m of the sampling depth. We also provide the computed distance and date/time lags that were assessed against these criteria. No environmental context is provided when one of these criteria was not met
Environmental context of all samples from the Tara Oceans Expedition (2009-2013), about pigment concentrations (HPLC) in the targeted environmental feature
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides environmental context to all samples from the Tara Oceans Expedition (2009-2013), about pigment concentrations in the targeted environmental feature. Pigment concentrations were measured by High Pressure Liquid Chromatography (HPLC) on water samples. For each parameter we provide six statistics about all observations that are considered adequate to characterise the targeted environmental feature: number of observations, minimum, first quartile (25 percentile), median, third quartile (75 percentile), and maximum values. Observations were considered adequate if they met the following criteria: <100 km from the sampling location, <2 days from the sampling date/time, and within 10 m of the sampling depth. We also provide the computed distance and date/time lags that were assessed against these criteria. No environmental context is provided when one of these criteria was not met
Environmental context of all samples from the Tara Oceans Expedition (2009-2013), about nutrients in the targeted environmental feature
No full textThe Tara Oceans Expedition (2009-2013) sampled the world oceans on board a 36 m long schooner, collecting environmental data and organisms from viruses to planktonic metazoans for later analyses using modern sequencing and state-of-the-art imaging technologies. Tara Oceans Data are particularly suited to study the genetic, morphological and functional diversity of plankton. The present data set provides environmental context to all samples from the Tara Oceans Expedition (2009-2013), about nutrient concentrations in the targeted environmental feature. Concentrations of nitrite, nitrite+nitrate, phosphate and silicate were determined by ... methods. For each parameter we provide six statistics about all observations that are considered adequate to characterise the targeted environmental feature: number of observations, minimum, first quartile (25 percentile), median, third quartile (75 percentile), and maximum values. Observations were considered adequate if they met the following criteria: <100 km from the sampling location, <2 days from the sampling date/time, and within 10 m of the sampling depth. We also provide the computed distance and date/time lags that were assessed against these criteria. No environmental context is provided when one of these criteria was not met
Seawater carbonate chemistry dataset collected during the Tara Pacific Expedition 2016-2018
No full textThe Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide results of carbonate chemistry for seawater samples collected during the expedition at the offshore and inshore sampling stations as well as at coral sampling sites (a few meters from studied colonies). The sampling protocol was described by Gorsky et al. (2019). Briefly, unfiltered seawater was collected once a week during the cruise and poisoned with Hg2Cl2 before to be stored on TARA board (356 samples). Like for TARA-Ocean expedition (Picheral et al, 2014) Total Alkalinity (TA) and Total Inorganic Carbon (TC) were measured at the SNAPO-CO2 facility at LOCEAN laboratory (Paris, France) and analyzed simultaneously by potentiometric titration derived from the method developed by Edmond (1970) using a closed cell. Calibrated Certified Reference Material (CRM, Dickson et al, 2007) were regularly analyzed (CRM Batches 155, 173 and 182). Analytical accuracy of the TA and TC concentrations is ±3 µmol.kg-1. Additional parameters of the carbonate system were calculated with CO2SYS.m v3.1.1 (Feb 2021: https://github.com/jonathansharp/CO2-System-Extd) using measured TA-TC data, in-situ seawater salinity and temperature measured at each seawater sampling, and local phosphate and silicate concentrations as inputs
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