The Pila Spi formation composed of seven lithotypes; carbonates (dolomite and
dolomitic limestone), marl, shale/claystone, red argillaceous mudstone, sandstone,
carbonate breccias and debris flow, which are arranged in repeated cycles of mixed
siliciclastic-calciturbidites in a range of gravity-flow regime in the Koi Sanjaq area.
Sedimentologic and facies evidences suggest developed marine environment for the
Pila Spi Formation. Facies analysis and associated sedimentary structures including
graded beddings decide turbidity and gravity flow regime origin of the rocks.
Marine environment is supported by the identifying glauconite and fossils types,
which is reported here for the first time rather than lagoon environment.
The Pila Spi sequences are grouped into four facies associations confirming
developed marine depositional systems, these are (from bottom to top) channeledslumped
fine and mega carbonate breccias, calciturbidites, faulted and slump
carbonate mega-breccias, slump/slide carbonate mega-breccias facies associations
respectively.
Petrographic analysis of carbonate units of the Pila Spi rocks in Koi Sanjaq area
indicated that they are composed of skeletal grains with subordinate non-skeletal
grains of tuffaceous fragments, chert, chalcedony, volcanic ash, metamorphic and
detrital iron oxides grains, with noticeable grains of glauconite. Varieties of marine
fossils are identified includes planktonic bivalves and benthic forams of cool water,
which support the deeper marine environment.
Microfacies analysis reveals (15) types, these are; green algal boundstone, algal
wackestone dolomudstone, algal dolostone/mudstone, framestone-mudstone, small
benthic foraminiferal wackestone, algal packstone-mudstone, foraminiferal
packstone-mudstone, algal dolostone, fossiliferous grainstone, foraminiferal
packstone, stromatolite framestone, algal boundstone, calci-microbial grainstonepackstone,
and large benthic Foraminiferal bioclasts floatstone. These microfacies
types are grouped in four facies associations representing the depositional
environments of the formation, these are; outer shelf, reef, forereef, reef, backreef.
Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
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... Show MoreAbstract
The purpose of our study was to develop Dabigatran Etexilate loaded nanostructured lipid carriers (DE-NLCs) using Glyceryl monostearate and Oleic acid as lipid matrix, and to estimate the potential of the developed delivery system to improve oral absorption of low bioavailability drug, different Oleic acid ratios effect on particle size, zeta potential, entrapment efficiency and loading capacity were studied, the optimized DE-NLCs shows a particle size within the nanorange, the zeta potential (ZP) was 33.81±0.73mV with drug entrapment efficiency (EE%) of 92.42±2.31% and a loading capacity (DL%) of 7.69±0.17%. about 92% of drug was released in 24hr in a controlled manner, the ex-vivo intestinal p
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