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1
Phytochemicals: Extraction, Isolation, and Identification of Bioactive Compounds from Plant Extracts
Phytochemicals: Extraction, Isolation, and Identification of Bioactive Compounds from Plant Extracts
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Phytochemicals: Extraction, Isolation, and Identification of Bioactive Compounds from Plant Extracts

Altemimi, Ammar ; Lakhssassi, Naoufal ; Baharlouei, Azam ; Watson, Dennis G ; Lightfoot, David A

Plants (Basel), 2017-09, Vol.6 (4), p.42 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
Ultrasound Assisted Extraction of Phenolic Compounds from Peaches and Pumpkins
Ultrasound Assisted Extraction of Phenolic Compounds from Peaches and Pumpkins
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Ultrasound Assisted Extraction of Phenolic Compounds from Peaches and Pumpkins

Altemimi, Ammar ; Watson, Dennis G ; Choudhary, Ruplal ; Dasari, Mallika R ; Lightfoot, David A Lin, Wen-Xiong

PloS one, 2016-02, Vol.11 (2), p.e0148758-e0148758 [Periódico revisado por pares]

United States: Public Library of Science

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3
TOWARD THE STANDARD POPULATION SYNTHESIS MODEL OF THE X-RAY BACKGROUND: EVOLUTION OF X-RAY LUMINOSITY AND ABSORPTION FUNCTIONS OF ACTIVE GALACTIC NUCLEI INCLUDING COMPTON-THICK POPULATIONS
TOWARD THE STANDARD POPULATION SYNTHESIS MODEL OF THE X-RAY BACKGROUND: EVOLUTION OF X-RAY LUMINOSITY AND ABSORPTION FUNCTIONS OF ACTIVE GALACTIC NUCLEI INCLUDING COMPTON-THICK POPULATIONS
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TOWARD THE STANDARD POPULATION SYNTHESIS MODEL OF THE X-RAY BACKGROUND: EVOLUTION OF X-RAY LUMINOSITY AND ABSORPTION FUNCTIONS OF ACTIVE GALACTIC NUCLEI INCLUDING COMPTON-THICK POPULATIONS

Ueda, Yoshihiro ; Akiyama, Masayuki ; HASINGER, GUNTHER ; Miyaji, Takamitsu ; Watson, Michael G

The Astrophysical journal, 2014-05, Vol.786 (2), p.1-28 [Periódico revisado por pares]

United States

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4
Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction
Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction
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Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction

Watson, Peter A. G.

Journal of advances in modeling earth systems, 2019-05, Vol.11 (5), p.1402-1417 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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5
Machine learning applications for weather and climate need greater focus on extremes
Machine learning applications for weather and climate need greater focus on extremes
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Machine learning applications for weather and climate need greater focus on extremes

Watson, Peter A G

Environmental research letters, 2022-11, Vol.17 (11), p.111004 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
Season and size of urban particulate matter differentially affect cytotoxicity and human immune responses to Mycobacterium tuberculosis
Season and size of urban particulate matter differentially affect cytotoxicity and human immune responses to Mycobacterium tuberculosis
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Season and size of urban particulate matter differentially affect cytotoxicity and human immune responses to Mycobacterium tuberculosis

Sarkar, Srijata ; Rivas-Santiago, César E ; Ibironke, Olufunmilola A ; Carranza, Claudia ; Meng, Qingyu ; Osornio-Vargas, Álvaro ; Zhang, Junfeng ; Torres, Martha ; Chow, Judith C ; Watson, John G ; Ohman-Strickland, Pamela ; Schwander, Stephan Bach, Horacio

PloS one, 2019-07, Vol.14 (7), p.e0219122 [Periódico revisado por pares]

United States: Public Library of Science

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7
Underperformance of African protected area networks and the case for new conservation models: insights from Zambia
Underperformance of African protected area networks and the case for new conservation models: insights from Zambia
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Underperformance of African protected area networks and the case for new conservation models: insights from Zambia

Lindsey, Peter A ; Nyirenda, Vincent R ; Barnes, Jonathan I ; Becker, Matthew S ; McRobb, Rachel ; Tambling, Craig J ; Taylor, W Andrew ; Watson, Frederick G ; t'Sas-Rolfes, Michael Russo, Danilo

PloS one, 2014-05, Vol.9 (5), p.e94109-e94109 [Periódico revisado por pares]

United States: Public Library of Science

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8
Metabolic profiling of hypoxic cells revealed a catabolic signature required for cell survival
Metabolic profiling of hypoxic cells revealed a catabolic signature required for cell survival
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Metabolic profiling of hypoxic cells revealed a catabolic signature required for cell survival

Frezza, Christian ; Zheng, Liang ; Tennant, Daniel A ; Papkovsky, Dmitri B ; Hedley, Barbara A ; Kalna, Gabriela ; Watson, David G ; Gottlieb, Eyal Appanna, Vasu D.

PloS one, 2011-09, Vol.6 (9), p.e24411-e24411 [Periódico revisado por pares]

United States: Public Library of Science

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9
Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011
Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011
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Impact of biomass burning on haze pollution in the Yangtze River delta, China: a case study in summer 2011

Cheng, Z ; Wang, S ; Fu, X ; Watson, J. G ; Jiang, J ; Fu, Q ; Chen, C ; Xu, B ; Yu, J ; Chow, J. C ; Hao, J

Atmospheric chemistry and physics, 2014-05, Vol.14 (9), p.4573-4585 [Periódico revisado por pares]

Copernicus GmbH

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10
Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model
Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model
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Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model

Davini, Paolo ; von Hardenberg, Jost ; Corti, Susanna ; Christensen, Hannah M ; Juricke, Stephan ; Subramanian, Aneesh ; Watson, Peter A. G ; Weisheimer, Antje ; Palmer, Tim N

Geoscientific Model Development, 2017-03, Vol.10 (3), p.1383-1402 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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