Results 181 to 190 of about 6,711,226 (342)

Half of the unprecedented global soybean production failure in 2012 is attributable to climate change.

Raed Hamed, Corey Lesk, Theodore G. Shepherd, Henrique Moreno Dumont Goulart, Linda van Garderen, Bart van den Hurk, Dim Coumou   +6 more
openalex   +1 more source

Experimental Evidence for the Desynchronization of Ecosystem Dynamics by Global Change. [PDF]

Ecol Lett
Vagnon C, Chevalier M, Boulêtreau S, Bruel R, Guillon S, Holtgrieve G, Jackson M, Olden JD, Marin V, Millot A, Thebault E, Tedesco PA, Cucherousset J.   +12 more
europepmc   +1 more source

Tumor mutational burden as a determinant of metastatic dissemination patterns

Molecular Oncology, EarlyView.
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal, Andrea Moreno‐Manuel, Miguel Salvadó‐Pertierra, Cristina Santos‐Vivas, Rebeca Sanz‐Pamplona   +4 more
wiley   +1 more source

Global change

Geocarto International, 1987
T.F. Malone, J.G. Roederer, Kamlesh Lulla   +2 more
openaire   +2 more sources

Movement from the margins to global recognition: climate change activism by young people and in particular indigenous youth

, 2020
Jenny Ritchie
openalex   +1 more source

An integrative framework for transformative social change: a case in global wildlife trade

, 2021
Rumi Naito, Jiaying Zhao, Kai M. A. Chan
openalex   +2 more sources

Global change factors differ in effect when acting alone and in a multi-factor background. [PDF]

Nat Commun
Rongstock R, Li H, Lehmann A, Wulf A, Rillig MC.   +4 more
europepmc   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Tree diversity is changing across tropical Andean and Amazonian forests in response to global change. [PDF]

Nat Ecol Evol
Fadrique B, Costa F, Cuesta F, Arellano G, Cayuela L, Baker TR, Draper FC, Esquivel-Muelbert A, Ter Steege H, Bauters M, Aguirre-Gutiérrez J, Aguirre-Mendoza Z, Alexiades MN, Alvarez-Davila E, Arets E, Ayala E, Aymard CGA, Baccaro F, Báez S, Baraloto C, Barbosa RI, Barbosa Camargo P, Barlow J, Barni PE, Barroso J, Benchimol M, Bennett AC, Berenguer E, Blanc L, Bonal D, Bongers F, Brienen R, Brown F, Bt Andrade M, Burban B, Burnham RJ, Camargo JL, Carvalho SPC, Castilho C, Chave J, Coelho de Souza F, Comiskey J, da Costa L, de Lima RB, de Oliveira EA, de Oliveira RLC, de Oliveira Perdiz R, De Rutte J, Del Aguila-Pasquel J, Derroire G, Di Fiore A, Disney M, Duque A, Emilio T, Farfan-Rios W, Fauset S, Fearnside PM, Feeley KJ, Feldpausch TR, Ferreira J, Ferreira L, Flores Llampazo GR, Galbraith D, García-Cabrera K, García Criado M, Gloor E, Grandez-Rios JM, Hérault B, Homeier J, Honorio Coronado EN, Huamantupa-Chuquimaco I, Huaraca Huasco W, Huillca-Aedo YT, Idárraga Á, Jadán-Maza O, Kalamandeen M, Killeen TJ, Laurance SGW, Laurance WF, Levesley A, Lopez W, Macía MJ, Magnusson WE, Malhi Y, Manzatto AG, Marimon BS, Marimon Junior BH, Martínez-Villa JA, Medeiros MB, Melgaço K, Melo L, Metzker T, Monteagudo A, Morandi PS, Myers JA, Nascimento HM, Nascimento R, Neill D, Nieto-Ariza B, Palacios WA, Palacios-Ramos S, Pallqui-Camacho NC, Pardo Molina G, Peacock J, Peña MA, Pennington RT, Peñuela MC, Peres CA, Pérez ÁJ, Pickavance GC, Pinto E, Pipoly J, Pitman N, Prieto A, Ramírez-Angulo H, Reis SM, Restrepo Z, Reynel C, Ribeiro S, Rivas-Torres G, Rojas R, Rudas A, Salinas N, Salomão RP, Santana F, Schietti J, Schwartz G, Serrano J, Silman M, Silva C, Silva CA, Silva RC, Silva RSA, Silva-Espejo J, Silveira M, Simon MF, Soto-Shareva YC, Souza PF, Storck-Tonon D, Stropp J, Swamy V, Tello JS, Terborgh J, Thomas R, Torres-Lezama A, Vale JD, Valenzuela Gamarra L, van der Heijden G, van der Hout P, van der Meer PJ, Vasquez Martinez R, Vedovato L, Verbeeck H, Vieira I, Vieira SA, Vilanova E, Vinceti B, Vos VA, Zagt R, Zuidema PA, Phillips OL.   +160 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source