Results 211 to 220 of about 4,121,317 (291)

Iron(III) ion reinforced P(NiPAAm‐co‐AA) beads as tunable smart organogels

Polymer International, EarlyView.
Macroporous beads of PNiPAAm‐co‐AA copolymers were further crosslinked by iron(III) ions. The resulting beads are mechanically robust and reversibly responsive to a change of solvent from ethanol to ethyl acetate with half‐lives in the range of minutes.
Johannes Gmeiner, Jonah Hasse, Gerrit A Luinstra   +2 more
wiley   +1 more source

Recent Advances in Microalgae‐Based Functional Coatings and Films for Food Packaging Applications: Opportunities and Challenges

Packaging Technology and Science, EarlyView.
Microalgae‐derived bioactive compounds exhibit strong antioxidant and antimicrobial properties and can be incorporated into edible coatings to enhance food quality and shelf life. These materials offer sustainable, biodegradable alternatives to conventional packaging, with promising potential for future scalable food applications.
Madhu Gaidher, Nidhi Bhardwaj, Sachin Sharma, Akanksha Singh, Kanika Dulta, P. K. Chauhan, Pooja Yadav, Hira Iqbal, Helen Onyeaka, Soumya Ghosh   +9 more
wiley   +1 more source

Snow or rain? hybrid AI deciphers surface precipitation phase from satellite observations. [PDF]

Nat Commun
Yang C, Li H, Zhu R, Wang Y, Zhang F, Gu M, Jiang GM, Zhang R, Tang X.   +8 more
europepmc   +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt, Massimo Bonavita, Niels Bormann, Sarah L. Dance, Alison Fowler, Elías Hólm, Christopher J. Merchant, Jonathan Mittaz, Stuart Newman, Joanne Waller   +9 more
wiley   +1 more source

Physicochemical Properties of Pre-Treatment Tartary Buckwheat Flour and Its Effect on Dough and Noodle Quality. [PDF]

Foods
Xu S, Li X, Lv J, Chen J, Liu K.
europepmc   +1 more source

Using microwave imager observations to improve the ocean temperature in a coupled NWP system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A recent upgrade to the ECMWF IFS has implemented outer‐loop coupling between the atmosphere and the ocean. This work uses this method to pass ocean skin temperature estimates derived from satellite‐borne microwave imagers to the ocean data assimilation system; the updated ocean state is then passed back to the atmospheric system.
Tracy Scanlon, Alan J. Geer, Philip Browne, Patricia de Rosnay, Niels Bormann   +4 more
wiley   +1 more source

Synergistic effects of microwave pretreatment and sous-vide cooking on flavor modulation and taste precursor dynamics in chicken breast. [PDF]

Food Chem X
Zhang S, Cao Y, Li M, Wang Z, Yu B, Tao H, Gao W, Li J, Zhang Z, Zhao H, Wu Z, Cui B.   +11 more
europepmc   +1 more source

Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj, Per Dahlgren, Máté Mile   +2 more
wiley   +1 more source

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]

Sci Data
Pfreundschuh S, Arulraj M, Behrangi A, Bogerd L, Calheiros AJP, Casella D, Dolatabadi N, Guilloteau C, Gong J, Kummerow CD, Kirstetter P, Lee G, Maahn M, Milani L, Panegrossi G, Palharini R, Petković V, Ryu S, Sanó P, Tan J.   +19 more
europepmc   +1 more source

Lightning electromagnetic emission location using arrival time differencing (LEELA): An introduction to the Met Office's next generation Very Low Frequency lightning location system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This paper describes the Met Office's new lightning location system LEELA. A brief overview of the upgraded hardware and geolocation algorithms is given. LEELA has improved lightning detection capabilities, especially at night. When comparing LEELA to the previous ATDnet system against ground truths LEELA has 100% storm detection efficiency within 5 km
Graeme Marlton, Mike Protts, Stephen Prust, Edmund Keith Stone, Debbie O'Sullivan, Sue Twelves, Francesco Devoto, Claire Witham   +7 more
wiley   +1 more source