Image_4_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_14_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_9_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_2_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_11_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_14_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_7_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_12_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_13_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_3_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Data_Sheet_1_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.PDF by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_5_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Image_15_Assessing the Sensitivity of Global Maize Price to Regional Productions Using Statistical and Machine Learning Methods.tif by Rotem Zelingher (10909332)

“…More specifically, our models reveal that a yearly yield gain of +8% in Northern America negatively impacts the global maize price by about –7%, while a decrease of –0.1% is expected to increase global maize price by more than +7%. …”

Do changes in size class compositions influence American alligator spatial distributions? (pt. 2) by Abby Lawson (750688)

“…At a finer scale, despite the implementation of harvest programs, we also determined that the proportion of the largest size class (> 3 m) detected on nightlight surveys increased from 0.08 ± 0.10 to 0.14 ± 0.09. …”

Photoconversion-enabled fate mapping links invadopodia with tumor cell dissemination and metastasis. by Bojana Gligorijevic (230200)

“…The number of photoconverted cells shows a negative trend only in fields that contain invadopodia (<i>p</i> = 1.4×10−², based on linear mixed effects model). …”

Effects of AP-5 application on EPSCs in control and hyperglycemic mice. by Eva C. Bach (709723)

“…Arrows point to expanded sections of traces indicated in <b>A</b> and <b>B</b>. <b>C.</b> Mean percent decrease in sEPSC frequency following application of AP-5 in control (n = 5) and hyperglycemic (n = 6) mice (asterisk indicates significant difference from control mice; p<0.05, Mann-Whitney U test). …”

CMV and TB immune mechanisms of host manipulation. by Laura Olbrich (4068691)

“…<p>Immune manipulation by CMV (left-hand side), <i>Mtb</i> (right-hand side), and some examples of possible interactions between the 2 pathogens (centre) in a host cell. Examples of viral genes expressed during both active replication and latent infection aid CMV in avoiding viral peptides to be displayed on the surface of infected cells. …”

Retrotransposon expression in <i>Pld6</i> KO and <i>Dnmt3l</i> KO spermatocytes. by Kota Inoue (4282273)

“…<p>(A) Expression of individual retrotransposons in <i>Pld6</i> KO and WT spermatocytes. …”

CSF1R and IL-8 mediated signaling affect PDAC portal blood CTC proliferation, cluster formation, and apoptosis. by Juan Pablo Arnoletti (12275290)

“…Anti-CSF1R treatment gave a 5.2-fold decrease in CTC proliferation in unsorted PortalBMC cultures (p<0.0001). …”

Hourly distances travelled. by Sonja Krüger (680714)

“…<p>The mean (mean ± standard deviation) monthly distances (in km) per hour between fixes of breeding adults, showing an increase in distances moved at the start of the breeding season in May, a peak during the incubation and hatching period and a decrease during the fledging period at the end of the breeding season (December) and during the post fledging period. …”