Miracle-dz/UniFAR-FTUs huggingface dataset:
Diel variation in the zooplankton of a highly dynamic Amazonian estuary

ABSTRACT Leite, N.R. , Magalhães, A. , Palma, M.B. , Flores Montes, M. , Pereira, L.C. C. and Costa, R.M. da, 2013. Diel variation in the zooplankton of a highly dynamic Amazonian estuary. In: Conley, D.C., Masselink, G. , Russell, P.E. and O'Hare, T.J. (eds.), Proceedings 12th International Coastal Symposium (Plymouth, England), Journal of Coastal Research, Special Issue No. 65, pp. 1146–1151, ISSN 0749-0208. --> The short-term dynamics (circadian and tidal cycles) of the zooplankton community were investigated in the Taperaçu estuary in northern Brazil. The plankton samples were collected in April (rainy season) at a fixed station, located in the middle sector of this estuary, through horizontal tows (plankton net with 200 μm mesh), every 3 hours over a 24-hour period, during the spring tide. Altogether, 51 zooplankton taxa were identified, of which the copepods Paracalanus quasimodo (34.6 to 13,852.8 ind.m−3; mean: 2,320.8±3,842.2 ind.m−3), Labidocera fluviatilis (2.0 to 3,209.2 ind.m−3; mean: 484.5±804.4 ind.m−3), Pseudodiaptomus marshi (9.7 to 1,599.6 ind.m−3; mean: 453.9±580.5 ind.m−3), and Acartia tonsa (27.6 to 3,953.6 ind.m−3; mean: 694.4±1,269.4 ind.m−3) were the dominant species. While no significant short-term variation was observed in hydrological or biological parameters, fluctuations related to tidal height were recorded in abiotic parameters and the density of the principal zooplankton taxa. The temporal variation in copepod populations tended to reflect that of total zooplankton abundance. Mean zooplankton density varied from 509.1 ind.m−3 (ebb tide, at 16:30 h) to 25,514.3 ind.m−3 (flood tide, at 10:30 h), with an overall mean of 5,872.1±8,286.4 ind.m−3. Oscillations in the density of P. quasimodo, L. fluviatilis, and P. marshi were influenced by the morphological and morphodynamic characteristics of the Taperaçu estuary, associated with the recruitment of individuals from the adjacent Caeté estuary, which constitutes an important factor determining the structure of the zooplankton community recorded in the present study.
Oblique rift geometry of the West Siberian Basin: tectonic setting for the Siberian flood basalts

We use magnetic intensity data to determine the geometries of basalt-filled rifts of the West Siberian Basin. En echelon graben arrays suggest a component of right-lateral, north–south shear during east–west extension (present co-ordinates). Several major exposed faults at the basin margins, mainly within the Altaid orogenic belt, underwent right-lateral strike-slip in the Late Permian–Early Triassic interval. The combined datasets show that the Siberian flood basalts were erupted during right-lateral oblique extension between the Urals and the Siberian craton, centred on a triple junction in the NE of the West Siberian Basin.
Petrology and Mineral Chemistry of Lower Crustal Intrusions: the Chilas Complex, Kohistan (NW Pakistan)

Mineral major and trace element data are presented for the main rock units of the Chilas Complex, a series of lower crustal intrusions emplaced during initial rifting within the Mesozoic Kohistan (paleo)-island arc (NW Pakistan). Detailed field observations and petrological analysis, together with geochemical data, indicate that the two principal units, ultramafic rocks and gabbronorite sequences, originate from a common parental magma, but evolved along different mineral fractionation trends. Phase petrology and mineral trace element data indicate that the fractionation sequence of the ultramafic rocks is dominated by the crystallization of olivine and clinopyroxene prior to plagioclase, whereas plagioclase precedes clinopyroxene in the gabbronorites. Clinopyroxene in the ultramafic rocks (with Mg-number [Mg/(Fetot þ Mg] up to 0� 95) displays increasing Al2O3 with decreasing Mg-number. The light rare earth element depleted trace element pattern (CeN/GdN � 0� 5^0� 3) of primitive clinopyroxenes displays no Eu anomaly. In contrast, clinopyroxenes from the gabbronorites contain plagioclase inclusions, and the trace element pattern shows pronounced negative anomalies for Sr, Pb and Eu. Trace element modeling indicates that in situ crystallization may account for major and trace element variations in the gabbronorite sequence, whereas the olivine-dominated ultramafic rocks show covariations between olivine Mg-number and Ni and Mn contents, pointing to the importance of crystal fractionation during their formation. A modeled parental liquid for the Chilas Complex is explained in terms of mantle- and slab-derived components, where the latter component accounts for 99% of the highly incompatible elements and between 30 and 80% of the middle rare earth elements. The geochemical characteristics of this component are similar to those of a low percentage melt or supercritical liquid derived from subducted mafic crust. However, elevated Pb/Ce ratios are best explained by additional involvement of hydrous fluids. In accordance with the crystallization sequence, the subsolidus metamorphic reactions indicate pressures of 0� 5^0� 7 GPa. Our data support a model of combined flux and decompression melting in the back-arc.
A Character-Level Restoration of Sukhothai Inscriptions Using The Masked Language Model

The stone inscription is one type of written literature that recorded the history story and the manifestation of cultural identity in that era through a character engraving method on the stone with sharp metal material for each character until a sentence formed. To convey the message for the readers to understand the meaning. Therefore, the completeness of that sentence is of great importance natural language processing tasks. In particular, when transcription stone inscriptions, it is found that inscriptions’ parts cannot interpret. As a result of the period that elapsed, those inscriptions may have suffered deterioration from various causes, resulting in scratches over the text or faded markings, destroyed from natural disasters that making it impossible to analyze which specific characters were damaged. To address enhance the completeness of the missing sentence, this research employs a method of generating predictive models for the missing characters from the text. It utilizes the technique of incorporating a masked language model to assist in processing the experimental data, utilizing 3 types of multilingual pre-trained models as following models are used: (1) XLM-RoBERTa, (2) Bert-base-multilingual-cased, and (3) DistilBERT-base-multilingual-cased. In each training round, random characters are masked using the token ““ or “[MASK]” to prompt the model to predict the missing words at the masked positions. From the experimental results, it was found that the accuracy of prediction from the three types of pre-trained models is as follows: (1) 42, (2) 53, and (3) 50 percent respectively.
Runoff Simulation of Hunhe Basin Based on SWAT Model

The distributed hydrological model is established to simulate the runoff of Hunhe Basin by using the technology of the combination of ArcGIS and SWAT model.And then the simulated result is compared with the measured values of Beikouqian and Shenyang Station.The result indicates that the simulation effect of the SWAT model is good,which has a applicability in the whole Hunhe Basin.
The Role of Angiotensin II and Cyclic AMP in Alveolar Active Sodium Transport

Active alveolar fluid clearance is important in keeping airspaces free of edema. Angiotensin II plays a role in the pathogenesis of hypertension, heart failure and others. However, little is known about its contribution to alveolar fluid clearance. Angiotensin II effects are mediated by two specific receptors; AT1 and AT2. The localization of these two receptors in the lung, specifically in alveolar epithelial cells type II, was recently reported. We hypothesize that Angiotensin II may have a role in the regulation of alveolar fluid clearance. We investigated the effect of Angiotensin II on alveolar fluid clearance in rats using the isolated perfused lung model and isolated rat alveolar epithelial cells. The rate of alveolar fluid clearance in control rats was 8.6% ± 0.1 clearance of the initial volume and decreased by 22.5%, 28.6%, 41.6%, 48.7% and 39% in rats treated with 10-10 M, 10-9 M, 10-8 M, 10-7 M or 10-6 M of Ang II respectively (P < 0.003). The inhibitory effect of Angiotensin II was restored in losartan, an AT1 specific antagonist, pretreated rats, indicating an AT1 mediated effect of Ang II on alveolar fluid clearance. The expression of Na,K-ATPase proteins and cAMP levels in alveolar epithelial cells were down-regulated following the administration of Angiotensin II; suggesting that cAMP may be involved in AngII-induced reduced Na,K-ATPase expression, though the contribution of additional factors could not be excluded. We herein suggest a novel mechanism of clinical relevance by which angiotensin adversely impairs the ability of the lungs to clear edema.
SoK: Design Tools for Side-Channel-Aware Implementions

Side-channel attacks that leak sensitive information through a computing device's interaction with its physical environment have proven to be a severe threat to devices' security, particularly when adversaries have unfettered physical access to the device. Traditional approaches for leakage detection measure the physical properties of the device. Hence, they cannot be used during the design process and fail to provide root cause analysis. An alternative approach that is gaining traction is to automate leakage detection by modeling the device. The demand to understand the scope, benefits, and limitations of the proposed tools intensifies with the increase in the number of proposals. In this SoK, we classify approaches to automated leakage detection based on the model's source of truth. We classify the existing tools on two main parameters: whether the model includes measurements from a concrete device and the abstraction level of the device specification used for constructing the model. We survey the proposed tools to determine the current knowledge level across the domain and identify open problems. In particular, we highlight the absence of evaluation methodologies and metrics that would compare proposals' effectiveness from across the domain. We believe that our results help practitioners who want to use automated leakage detection and researchers interested in advancing the knowledge and improving automated leakage detection.
Property Division Laws: The Effects on Labor Supply and Household Bargaining

This paper provides a framework for analyzing the impact of a change in property division law-a natural experiment that affects spouses' bargaining power in a discrete manner-on household decision making. I focus on the 2000 House of Lords decision (White v. White), which led to a more equitable division of assets between divorcing spouses in England and Wales, and estimate its effect on the intrahousehold resource allocation rule using the collective labor supply model. I show that this effect can be expressed as an "equivalent transfer" of household nonlabor income. The "equivalent transfer" concept is then used to demonstrate that the unobserved components of the underlying decision process (the individual preferences and the household resource sharing rule) can be identified nonparametrically from changes in observed labor supply. Empirical analysis using the British Household Panel Survey (BHPS)for 1991-2006 reveals that married women reduced their labor supply after the law change. I also find some evidence that the household resource allocation process changed in their favor.
HYPOfractionated Radiation Therapy comparing a standard radiotherapy schedule (over three weeks) with a novel one week schedule in Adjuvant breast cancer: An open-label randomised controlled study (HYPORT- Adjuvant): study protocol for a multicenter, randomized phase III trial.

Background: Hypofractionated radiotherapy is the current standard for adjuvant radiotherapy across many centres. Further hypofractionation may be possible but remains to be investigated in non-caucasian populations with more advanced disease, with a higher proportion of patients requiring mastectomy as well as tumour bed boost. We are reporting the design of randomized controlled trial testing the hypothesis that a one week (5 fractions) regimen of radiotherapy will be non-inferior to a standard three week (15 fractions) schedule.Methods: We describe a multicenter, randomized controlled trial recruiting patients at large academic centres across India. Patients without distant metastases who merit adjuvant radiotherapy will be eligible for inclusion in the study. Patients in the control arm will receive adjuvant radiotherapy to the breast or chest wall (with/without regional nodes) to a dose of 40 Gy / 15 fractions / 3 weeks, while those in the experimental arm will receive a dose of 26 Gy / 5 fractions / 1 week (to the same volume). Use of a simultaneous integrated boost (dose of 8 Gy and 6 Gy respectively) is allowed in patients who have undergone breast conservation. A sample size of 2100 patients provides an 80% power to detect a non-inferiority of 3% in the 5-year locoregional recurrence rate with a one-sided type I error of 2.5%, assuming that the locoregional recurrence rate in the control arm is 5% at 5 years (corresponding to a hazard ratio of 1.63). Patients will be recruited over a period of 5 years, and followed up for a further 5 years thereafter.Discussion: If a five-fraction regimen of breast cancer is proven to be non-inferior, this will result in a significant improvement in the access to radiotherapy, as well as reduced costs of treatment. The trial gives an opportunity to standardize and quality assure radiotherapy practices across the nation at the same time. Along with the results of the FAST Forward trial, the safety of this intervention in advanced node-positive disease requiring regional nodal radiation will be established.Trial Registration: The trial has been registered at the Clinical Trial Registry of India (CTRI) vide registration number: CTRI/2018/12/016816 (31/12/2018) as well as the clinical trial.gov website at NCT03788213 (28/12/2018).
Enhancement of Pancreatic Cancer Therapy Efficacy by Type-1 Matrix Metalloproteinase-Functionalized Nanoparticles for the Selective Delivery of Gemcitabine and Erlotinib

Purpose: Pancreatic cancer (PCa) is projected to become the second leading cause of cancer-related deaths by 2030. Gemcitabine (GEM) combined with erlotinib (ERL) have been approved by the FDA for locally advanced, unresectable or metastatic pancreatic cancer therapy since 2005. Type-1 matrix metalloproteinase (MT1-MMP) has been recognized as a critical mediator of several steps in PCa progression including activating TGF-β or releasing latent TGF-β from LTBP-1, resulting in increased collagen production and cleavage collagen. Methods: In the present research, GEM and ERL co-loaded nanoparticles (GEM/ERL NPs) were prepared. A non-substrate MT1-MMP binding peptide was decorated onto the GEM/ ERL NPs surface. Results: M-M GEM/ERL NPs exhibited the highest uptake ability (67.65 ± 2.87%), longest half-life period, largest area under the curve, and the best tumor inhibition efficiency (69.81 ± 4.13%). The body weight, blood urine nitrogen (BUN), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) of the system were steady when tested in mice model. Conclusion: In conclusion, M-M GEM/ERL NPs protected the drugs in the plasma, improved cellular uptake capacity, exhibited the most remarkable tumor cell inhibition ability, and showed the most efficient tumor growth inhibition capacity in vivo. M-M GEM/ERL NPs could be applied as an efficient and safe system for the synergistic combination chemotherapy of PCa.
acellular valve conduits drive the commitment of blood-derived multipotent cells

: Considerable progress has been made in recent years toward elucidating the correlation among nanoscale topography, mechanical properties, and biological behavior of cardiac valve substitutes. Porcine TriCol scaffolds are promising valve tissue engineering matrices with demonstrated self-repopulation potentiality. In order to define an in vitro model for investigating the influence of extracellular matrix signaling on the growth pattern of colonizing blood-derived cells, we cultured circulating multipotent cells (CMC) on acellular aortic (AVL) and pulmonary (PVL) valve conduits prepared with TriCol method and under no-flow condition. Isolated by our group from Vietnamese pigs before heart valve prosthetic implantation, porcine CMC revealed high proliferative abilities, three-lineage differentiative potential, and distinct hematopoietic/endothelial and mesenchymal properties. Their interaction with valve extracellular matrix nanostructures boosted differential messenger RNA expression pattern and morphologic features on AVL compared to PVL, while promoting on both matrices the commitment to valvular and endothelial cell-like phenotypes. Based on their origin from peripheral blood, porcine CMC are hypothesized in vivo to exert a pivotal role to homeostati-cally replenish valve cells and contribute to hetero-or allograft colonization. Furthermore, due to their high responsivity to extracellular matrix nanostructure signaling, porcine CMC could be useful for a preliminary evaluation of heart valve prosthetic functionality.
Contributions of Clustering Variable Selection: Methods for International Segmentation

: Performing international activities is a challenging operation given the heterogeneity of the international market which makes practically impossible the development of successful standardized strategies for the entire world’s population. Finding homogeneous international customer segments helps companies to better communicate with the targeted customers by concentrating on a few units, a group, or several groups. Depending on the study purpose, the segmentation results may help to select potentially attractive international markets, to develop in the context of a global marketing standardized strategies for a segment of countries, or to develop in the context of an international marketing a totally or partially differentiated strategy for several groups. Thus, international segmentation has become an indispensable task in the strategic decision-making process for various international business research questions. Consequently, choosing the relevant segmentation bases and the statistical method represent crucial steps to carry out to identify segments of customers. Actually, research studies in which an international market is segmented mainly employ as bases socio-economic or cultural variables. Moreover, in these studies, since the purpose of the analysis is usually to discover a priori unknown segments in an international population, the segmentation task is performed by clustering techniques. Typically, in this scientific research, to facilitate the interpretation of the results, the segmentation task is preceded by factor analysis to reduce a large number of the initial variables into a few dimensions or factors. However, on the one hand, factor analysis usually generates a loss of information and distortion of reality. On the other hand, the set of the variables initially considered may contain irrelevant variables that might lead to incorrect classification. Therefore, to retain only relevant information for the clustering task: variable selection should be performed to reduce the data dimension before considering a factor analysis.As shown by the numerical experiments,conducted on the basis of two secondary databases: the 03/07/2018 updates of the structure of consumption expenditure published by Eurostat including 32 countries of the European Union and its neighboring countries and the 15/04/2016 version of the updated European Values Study data including customers from 48 European countries, it will allow discovering the accurate groups and facilitate result interpretation. As a result, variable selection allows discovering relevant segments that are easy to interpret. Thus, once the variable selection is performed, the segmentation results will enable relevant and accurate analysis and support correct decision-making.
The Transformation of American Abolitionism: Fighting Slavery in the Early Republic

How abolitionism evolved from an elite and conservative movement to a radical, grassroots reform cause; Most accounts date the birth of American abolitionism to 1831, when William Lloyd Garrison began publishing his radical antislavery newspaper, The Liberator. In fact, however, the abolition movement had been born with the American Republic. In the decades following the Revolution, abolitionists worked steadily to eliminate slavery and racial injustice, and their tactics and strategies constantly evolved. Tracing the development of the abolitionist movement from the 1770s to the 1830s, Richard Newman focuses particularly on its transformation from a conservative lobbying effort into a fiery grassroots reform cause. What began in late-eighteenth-century Pennsylvania as an elite movement espousing gradual legal reform began to change in the 1820s as black activists, female reformers, and nonelite whites pushed their way into the antislavery movement. Centered in Massachusetts, these new reformers demanded immediate emancipation, and they revolutionized abolitionist strategies and tactics - lecturing extensively, publishing gripping accounts of life in bondage, and organizing on a grassroots level. Their attitudes and actions made the abolition movement the radical cause we think of it as today.
Exploring strategic farming choices to respond to mitigation and adaptation to climate change

234 Pags. - Figs.- Tabls. Tesis del Departamento de Economia y Ciencias Sociales Agrarias, Escuela Tecnica Superior de Ingenieros Agronomos, Universidad Politecnica de Madrid (UPM). Codirigida por los Drs. Ana Iglesias Picazo (UPM) y Jorge Alvaro-Fuentes (EEAD-CSIC).
Socio-demographic and economic determinants of food deserts

In this paper we utilized a panel data set from 2004 to 2010 to identify and determine the demographic and economic drivers of food deserts in both urban and rural areas in Arkansas. We defined food deserts as areas where access to healthy foods such as fresh vegetables and fruits are limited. More specifically, separate distance measures from the census block centroid to the nearest supermarket or grocery store were used to determine if the area is an urban food desert (1 mile) or rural food desert (10 miles). These distance measures were then aggregated at the census block group level. Locations of supermarkets and big grocery stores that provide fresh produce were geocoded (latitude and longitude) accordingly. Socio-demographic and economic variables at the census block group level were then matched with the distance information. These variables were from Census 2000 Summary File 3. Finally, we employed multivariate regression approaches to model the relationship between socio-demographic and economic factors and the existence of urban and rural food deserts in Arkansas. We found that block groups with deprived situation, such as less per capita income, higher unemployment, and less educational attainment, will be more likely to be food deserts. This thesis is approved for recommendation to the Graduate Council.
Two-Dimensional Fast Generalized Fourier Interpolation of Seismic Records

The fast generalized Fourier transform (FGFT) algorithm is extended to two-dimensional (2D) data cases. The 2D FGFT algorithm provides a fast and non-redundant alternative for the simultaneous time-frequency and space-wavenumber analysis of the data with timespace dependencies. The transform decomposes the data based on the local slope information, and therefore making it possible to extract weight function based on dominant dips from the alias-free low frequencies. By projecting the extracted weight function to the alias-contaminated high frequencies and utilizing a least-squares fitting algorithm, a beyond-alias interpolation method is accomplished. Synthetic and real data examples are provided to examine the performance of the proposed interpolation method.