Data_Sheet_8_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.pdf by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_3_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.PDF by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_4_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.PDF by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_11_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.pdf by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Table_2_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.pdf by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_9_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.pdf by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_5_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.PDF by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Data_Sheet_6_Overexploitation, Recovery, and Warming of the Barents Sea Ecosystem During 1950–2013.PDF by Torstein Pedersen (11447782)

“…To quantify carbon flow pathways and assess if changes in harvesting intensity and climate variability have affected the BS ecosystem, we modeled the ecosystem for the period 1950–2013 using a highly trophically resolved mass-balanced food web model (Ecopath with Ecosim). …”

Decreased accumulation of inflammatory cells in SOCS1^−/−IFN-γ^−/− mice at the resolution phase of influenza infection. by Keer Sun (673151)

<i>PB-Cre4; SypELDTA</i> line 147 mice show decreased number of NE cells and prostate hypotrophy. by Chieh-Yang Cheng (405156)

Lack of p23 results in decreased epidermal thickness, delayed differentiation and increased rates of proliferation and apoptosis in E18.5 skin. by Marta Madon-Simon (527400)

“…Black bars in panels <b>a</b> and <b>d</b> indicate 50 μm.</p>…”

Gas exchange model used to construct oxygen-haemoglobin dissociation curves (ODC) for the cohort. by Nikhil Mayor (13989363)

Regional Volume Decreases in the Brain of <i>Pax6</i> Heterozygous Mutant Rats: MRI Deformation-Based Morphometry - Fig 5 by Kotaro Hiraoka (812730)

Impact of plasma ratio (0%, 50%, or 100%) on cellular response after UVA irradiation (2 J/cm²). by Marie Laulhé (6416483)

Case 81, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

Case 6, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

Case 161, color-fundus and red-free fundus photography (A), peripapillary RNFL thickness measured by SD-OCT (B), and automated 30–2 visual field test (C). by Seong Jae Kim (4042847)

30-day unplanned readmission rate in otolaryngology patients: A population-based study in Thuringia, Germany by Wido Rippe (7513133)

“…Unplanned readmission had more frequently a non-surgical treatment at readmission than a surgical treatment (OR = 3.92; CI = 2.24–6.84) and needed more frequently further diagnostics (OR = 2.34; CI = 1.34–4.11). …”

Effect of downregulation of <i>Pf</i>HtrA2 levels on mitochondrial oxidative stress and mitochondrial membrane potential. by Shweta Singh (409313)

Gene ontology for H2A.Z enriched peaks in control siRNA-treated cells compared to CFDP1 siRNA-treated cells. by Gokul Gopinathan (7930679)