Potential effects of climate change on growth and the implications for conservation of the endangered Serbian spruce (Picea omorika (Pančić) Purk.)

Authors: Marko Kazimirović, Branko Stajić

Source: Forest Ecosystems, Vol 12, Iss , Pp 100287- (2025)

Subject Terms: Serbian spruce, Serbia, Endangered species, Climate-growth response, Climate change, Mixed-effect modelling, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2197562024001234; https://doaj.org/toc/2197-5620

Access URL: https://doaj.org/article/76d6cc153aa046b9b501fec6c665e681

Modeling Influencing Factors in B-Cell Reconstitution After Hematopoietic Stem Cell Transplantation in Children

Authors: Nicolaas G. van der Maas, Erik G. J. von Asmuth, Dagmar Berghuis, Pauline A. van Schouwenburg, Hein Putter, Mirjam van der Burg, Arjan C. Lankester

Source: Frontiers in Immunology, Vol 12 (2021)

Subject Terms: B lymphocyte, allogeneic, hematopoietic stem cell transplantation, immune reconstitution, pediatric, linear mixed effect modelling, Immunologic diseases. Allergy, RC581-607

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2021.684147/full; https://doaj.org/toc/1664-3224

Access URL: https://doaj.org/article/ed17a1c8bb83402f86725e1a9058404c

Isotopic signatures in Mytilus galloprovincialis and Ulva latuca as bioindicators for assessing discharged sewage effluent in coastal waters along Otago Peninsula, New Zealand

Authors: Oluwuyi Babaranti, Stephen Horn, Tim Jowett, Russell Frew

Source: Geology, Ecology, and Landscapes, Vol 3, Iss 1, Pp 53-64 (2019)

Subject Terms: Sewage effluent, wastewater, isotopic enrichment factor, organic matter, linear mixed effect modelling, bioindicators, Ecology, QH540-549.5, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/2474-9508

Access URL: https://doaj.org/article/f7a1a3ebe3664bf8a30a6a564863a6fb

Cardiac–Brain Dynamics Depend on Context Familiarity and Their Interaction Predicts Experience of Emotional Arousal

Authors: Sudhakar Mishra, Narayanan Srinivasan, Uma Shanker Tiwary

Source: Brain Sciences, Vol 12, Iss 6, p 702 (2022)

Subject Terms: cardiac–brain interaction, context familiarity, naturalistic paradigm, mixed effect modelling, emotional film, emotional arousal, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3425/12/6/702; https://doaj.org/toc/2076-3425

Access URL: https://doaj.org/article/c70c6700f1194efcadb8119fbfb947aa

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