Results 61 to 70 of about 158,479 (276)

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

The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory

Frontiers in Forests and Global Change
IntroductionThis study delves into the spatiotemporal dynamics of land use and land cover (LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to forecast future scenarios from 2031 to 2051.
Muhammad Tariq Badshah, Muhammad Tariq Badshah, Khadim Hussain, Khadim Hussain, Arif Ur Rehman, Arif Ur Rehman, Kaleem Mehmood, Kaleem Mehmood, Kaleem Mehmood, Bilal Muhammad, Bilal Muhammad, Rinto Wiarta, Rinto Wiarta, Rato Firdaus Silamon, Rato Firdaus Silamon, Muhammad Anas Khan, Jinghui Meng, Jinghui Meng   +17 more
doaj   +1 more source

Towards concessions 2.0 in Central Africa. Managing overlapping rights between industrial concessions and community forestry [PDF]

, 2016
In Central Africa, industrial forest concessions and protected areas occupy most of the forested space while community forests are confined to the margins.
Karsenty, Alain, Vermeulen, Cédric
core   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Perspectives de Recherche en Economie Forestière en France : Programmes Prioritaires pour la Période 2005-2008 [PDF]

The Laboratory of Forestry economics (LEF) was created in 2000 as a joint research unit of the French Institute of Forestry, Agricultural and Environmental Engineering (ENGREF) and the National Institute of Agronomic research (INRA).
Laboratoire d’Economie Forestière
core  

Impact Factor: outdated artefact or stepping-stone to journal certification?

, 2011
A review of Garfield's journal impact factor and its specific implementation as the Thomson Reuters Impact Factor reveals several weaknesses in this commonly-used indicator of journal standing.
A Andrade, A Bonillo Perales, A Coleman, A Fassoulaki, A Lomnicki, A Schubert, A Tal, AI Pudovkin, Anonymous, AP Kurmis, AP Kurmis, AR Weale, AW Jones, AW Jones, B Cashore, B Statzner, B Stiftel, B Timuralp, BD Cameron, BM Althouse, C Chen, C Johnson, C McGarty, C Minelli, C Neuhaus, C Scully, CM Ketcham, CP Robert, CR Bain, CW Holsapple, D Ho, D Leutner, D Poomkottayil, D Schoonbaert, D Ugolini, DB Resnik, DB Resnik, DC Greenwood, DE Drew, DN Laband, DR Smith, DW Straub, E Archambault, E Garfield, E Garfield, E Garfield, E Garfield, E Postma, E Wager, EJ Favaloro, EM Sonderstrup-Andersen, EV Bernstam, F Godlee, F Habibzadeh, F Preti, F-T Krell, FJ Bath, FN Dost, G Abramo, G Jacobs, G Knothe, G Lehmkuhl, G Maier, G Racki, G Walter, G Williams, G Winkmann, G Winkmann, G Yu, G Yu, GE Hunt, H Brown, H Goldstein, H Moed, H Sompel Van de, H Xiao, HB Hansen, HF Moed, I Chalmers, I Hames, J Awrey, J Bollen, J Cheek, J Davies, J Horner, J Kapeller, J Mehrad, J Mehrad, J Moller, J Reedijk, J Roberts, J Schopfel, J Woelfel, JA Dempsey, JB Cohen, Jerome K. Vanclay, JJ Ramsden, JK Vanclay, JL Wulff, JM Campanario, JM Campanario, JM Campanario, JP Skovsgaard, JS Kotiaho, JYA Foo, JYA Foo, K Metze, K Simons, K Soreide, KG Altmann, L Bornmann, L Eaton, L Gollogly, L Leydesdorff, L McKeever, L Rieseberg, L Rieseberg, LL Gluud, LL Lange, M Callaham, M Callaham, M Chew, M Driel Van, M Errami, M Errami, M Frank, M Jahangiriana, M Patterson, M Porter, M Rossner, M Rossner, M Taylor, M-J Johnstone, MA Hernan, MA Ruiz, MC Calver, ME Falagas, ME McVeigh, MF Fox, MJ Cobo, MJ Tobin, MV Simkin, N Haslam, N Rezaei-Ghaleh, N Sombatsompop, N Sombatsompop, P Abraham, P Campbell, P Dong, P Jacso, P Jörgensen, P Owlia, PA Lawrence, PA Todd, PA Todd, PC Gøtzsche, PLoS Medicine Editors, PO Seglen, PO Seglen, PO Seglen, R Adler, R Coleman, R Meneghini, R Rousseau, R Rousseau, R Saunders, R Zetterstrom, RA Brumback, RA Brumback, RJ Epstein, RJ Stein, RP Vlosky, RW Glynn, S Butakov, S Chapman, S Lock, S Meyer zu Eissen, S Saha, S Wang, S Woolgar, SE Gwilym, SJ Bensman, SJ Bensman, SJ Bensman, SL Lau, T Braun, TC Ha, TH Berquist, TL Ogden, TN Leeuwen Van, TP Kurmis, TV Perneger, V Barbour, V Kumar, V Larivière, VA Cartwright, W Glänzel, W Glänzel, W Yue, WH Starbuck, WR Schumm, WT Obremskey   +201 more
core   +1 more source

Stabilization of Miscible Aqueous Phases via Diffusion‐Controlled Multifunctional Nanoparticle‐Ligand Complexation

Advanced Functional Materials, EarlyView.
This study presents a versatile approach to harnessing miscible aqueous domains, enabling liquid‐in‐liquid compartmentalization using a barrier formed in situ rather than bulk immiscibility. The barrier forms upon the complexation of multifunctional nanoparticles and ligands at the contact boundary of aqueous phases.
Seyyed Alireza Hashemi, Mahyar Panahi‐Sarmad, Ahmadreza Ghaffarkhah, Vahid Rad, Masoud Soroush, Thomas P. Russell, Orlando J. Rojas, Mohammad Arjmand   +7 more
wiley   +1 more source

Land-Use Change and Carbon Sinks [PDF]

When and if the United States chooses to implement a greenhouse gas reduction program, it will be necessary to decide whether carbon sequestration policies — such as those that promote forestation and discourage deforestation — should be part of the ...
Lubowski, Ruben, Plantinga, Andrew, Stavins, Robert   +2 more
core  

Quasi‐Static to Supersonic Energy Absorption of Nanoarchitected Tubulanes and Schwarzites

Advanced Functional Materials, EarlyView.
Nanoarchitected energy‐absorptive Tubulanes exhibit record energy absorption under quasi‐static conditions and exceptional inelastic energy dissipation under 750 m s−1 ballistics impact, with high performance spanning strain rates of 12 orders of magnitude.
Peter Serles, Alianna Maguire, Thomas Butruille, Jet Lem, Shuo Yang, Pedro Guerra Demingos, Sahar Choukir, Michel Haché, Boran Kumral, Katherine Jia, Charles Jia, Yu Zou, Chandra Veer Singh, Carlos M. Portela, Jun Lou, Pulickel M. Ajayan, Tobin Filleter   +16 more
wiley   +1 more source

Spatial distribution patterns and driving factors of understory vegetation species diversity on northeastern Tibetan Plateau

Ecological Indicators
Understory vegetation diversity plays a crucial role in stabilizing forest communities and shaping ecosystem structure and function. Understanding its geographic patterns and underlying mechanisms is essential.
Yanwen Hu, Jingyuan He, Beibei Chen, Senxuan Lin, Wennong Kuang, Xiuhai Zhao, Chunyu Zhang   +6 more
doaj   +1 more source