Biosynthesis and Functionalization of Bacterial Cellulose Membranes with Cerium Nitrate and Silver Nanoparticles by Stéfani Regina Zibetti Teixeira (8076788)

“…The BC membranes were white to light yellow or brown indicating functionalization with AgNps with 20 nm. XRD detected a decrease in the degree of crystallinity in functionalized membranes. …”

Table 1_Study on China’s manganese resource demand from 2024 to 2035 based on GM-SVR method.docx by Xuguang Zhao (11849246)

“…These three methods indicate a gradual decrease in China’s manganese demand, with projections of 12.86 million tons in 2025, 11.76 million tons in 2030, and 10.64 million tons in 2035. …”

Image_1_Single opsin driven white noise ERGs in mice.JPEG by Nina Stallwitz (16712367)

“…A delay was calculated from MTF phases showing larger delays for rhodopsin- vs. low delays for L*-opsin-driven responses.…”

Baseline characteristics for pneumonia. by Mathias Aagaard Christensen (19139443)

“…</p><p>Results</p><p>Models were generated for atrial fibrillation, venous thromboembolism and pneumonia as genetics only, clinical features only and a combined model. For venous thromboembolism, the ROC-AUCs were 60.1% [59.6%-60.4%], 63.4% [63.2%-63.4%] and 66.6% [66.2%-66.9%] for the linear models and 51.5% [49.4%-53.4%], 63.2% [61.2%-65.0%] and 62.6% [60.7%-64.5%] for the deep learning SNP, clinical and combined models, respectively. …”

Difference in GHG emissions (<em>x</em>-axis) and food availability (<em>y</em>-axis) in 2050 for the different scenarios with respect to 'TREND' by H Valin (557174)

“…</strong> Difference in GHG emissions (<em>x</em>-axis) and food availability (<em>y</em>-axis) in 2050 for the different scenarios with respect to 'TREND'. Panels (A)–(C) and (D) delineate domains where food provision increases ((A), (B)) or decreases ((C), (D)) and GHG emission savings increase ((B), (D)) or decrease ((A), (C)). …”

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_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_1_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_1_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%. …”

Image_6_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_10_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_8_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_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_10_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_6_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_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_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_8_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%. …”