Results 61 to 70 of about 78,268 (305)

Trophic group and evolution in bivalve molluscs

, 1974
(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire   +1 more source

Appendix H. Land use change effects on nematode trophic groups.

, 2016
Land use change effects on nematode trophic ...
Jack H. Faber (2918957), Ron G. M de Goede (2918960), Maria B. Postma-Blaauw (2918951), Lijbert Brussaard (2918954), Jaap Bloem (295645)   +4 more
core   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

Fig. 8 (c) Diatom trophic groups in core Lz1104-5

, 2008
Fig. 8 (c) Diatom trophic groups in core Lz1104-
Holger Cremer (6959303), Cremer, Holger, Bernd Wagner (6959612), Lotter, André F, Johanna A A Bos (6982649), André F Lotter (6959408), Martin Melles (6962663), Bennike, Ole, Ole Bennike (6965906), Wagner, Bernd, Melles, Martin, Bos, Johanna A A   +11 more
core   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Appendix G. Agricultural management effects on predatory mite trophic groups.

, 2016
Agricultural management effects on predatory mite trophic ...
Jack H. Faber (2918957), Ron G. M de Goede (2918960), Maria B. Postma-Blaauw (2918951), Lijbert Brussaard (2918954), Jaap Bloem (295645)   +4 more
core   +1 more source

Trophic Diversity in Duckweed: Mixotrophy, More Than the Sum of its Extremes

Advanced Science, EarlyView.
In the context of rising DOC in aquatic environments, mixotrophic duckweed may impact carbon cycling by acting as either a carbon sink, as they absorb CO2 through photosynthesis, or a carbon source, as they release CO2 through respiration of absorbed DOC, which depends on DOC concentration, light availability, temperature, and other environmental ...
Zuoliang Sun, Yan Chen, Fajun Li, Xuyao Zhao, Qingxiang Han, Hongwei Hou   +5 more
wiley   +1 more source

Termite assemblages in dry tropical forests of Northeastern Brazil: Are termites bioindicators of environmental disturbances?

Sociobiology, 2014
Termites exhibit several characteristics that emphasize their potential as bioindicators of habitat quality appropriate to use in ecological monitoring, especially for the Caatinga biome, but little is known about this group in different vegetations of ...
Arleu Barbosa Viana-Junior, Yana Teixeira Reis, Ana Paula Marques Costa, Vania Benicio Souza   +3 more
doaj   +1 more source

Trophic groups and taxa composition included in the Ecopath trophic mass-balance model of the Chassahowitzka River food web.

, 2019
Trophic groups and taxa composition included in the Ecopath trophic mass-balance model of the Chassahowitzka River food web.
Matthew V. Lauretta (8201877), Thomas K. Frazer (7390121), Carl J. Walters (8201883), William E. Pine III (8201880)   +3 more
core   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source