Results 141 to 150 of about 510,536 (313)

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

PROCJENA GENETSKOG ODSTUPANJA MEĐU NAPREDNIM LINIJAMA BRASSICAE NAPUS L [PDF]

, 2011
A field experiment was conducted with 22 Brassica napus L. advanced lines at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka to study the genetic variation among advanced lines of Brassica napus L. during November 2008 to March 2009.
Firoz Mahmud, Khandker Shazia Afrin, Md. Abdur Rahim, Md. Shahidur Rahid Bhuiyan   +3 more
core   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Fluorescent Nanodiamonds Based Theranostic Platform for pH‐Sensitive Drug Delivery and Quantum Sensing

Advanced Functional Materials, EarlyView.
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu, Siyu Fan, Yue Zhang, Willem Woudstra, Thomas Mulder, Laurens Boscher Navarro, Jur van Dijken, Katja Loos, Romana Schirhagl   +8 more
wiley   +1 more source

Investigating the Effect of Organic Fertilizers Municipal Waste Compost and Orange Waste Compost on Growth and Yield of Common Millet (Panicum miliaceum L.) [PDF]

بوم شناسی کشاورزی
IntroductionCommon millet (Panicum miliaceum L.) belonging to the family Gramineae is a warm-season grass with a growing season length of 60–100 days. It is specially adapted to hot summers in the tropics and high altitudes, where the growing season is ...
Mohammad Hassan Sayyari Zahan, Ali Asghar Beigi, gholam reza zamani   +2 more
doaj   +1 more source

The Growth and Yield of Sweet Sorghum (Sorghum Bicolor (L.) Moench) on the Mulch Treatments and Organic Matter [PDF]

, 2016
The research has been conducted to evaluation growth and yield of sweet sorghum on the mulch treatments and organic matter. The research was conducted at experimental field, Agricultural Faculty University of Sumatera Utara, Medan with altitude ± 25 ...
Irmansyah, T. (Teuku), Mariati, M. (Mariati), Siregar, N. (Novrizal)   +2 more
core  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Soybean (Glycine max L.) Yield and Yield Component Under Different Planting Time and Foliar Application of Humic Acid

Kurdistan Journal of Applied Research
A triplicate field experiment laid out in randomized complete block design was conducted to evaluate the effect of foliar application of humic acid rates (HAR) at Bakrajo, Sulaimani which is  (located at 35°32'52.8"N and 45°21'16.6"E) belongs to ...
Shara Salih Ali, Chnar Hama Noori Mirza
doaj   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Pengaruh Jarak Tanam Dan Paclobutrazol Terhadap Produksi Dan Viabilitas Benih Bunga Matahari (Helianthus Annuus L.) [PDF]

, 1999
The research was conducted at Seed Science and Technology Field Experimental and Laboratory, Faculty of Agriculture, Bogor Agricultural University since January until July 1998.
Budiarti, T. (Tati), Ramlafatma, R. (Ramlafatma), Widajati, E. (Eny)   +2 more
core