Coefficient of determination (<i>R</i>²) estimated using 10-fold cross validation of our adaptive prediction algorithm. by Joong-Ho Won (194249)

“…</p><p>For each method and mFDR cutoff, the first row presents the baseline <i>R</i>²; “main” and “inter” refers to the increase or decrease in <i>R</i>² from “non-SNP.” Standard errors of the individual <i>R</i>² for each of the ten folds are presented within parentheses.…”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Nitric Oxide Oxidatively Nitrosylates Ni(I) and Cu(I) <i>C</i>-Organonitroso Adducts by Stefan Wiese (1626535)

“…[Me₂NN]Cu(NCMe) reacts with 0.5 equiv of ArNO in ether to give the dinuclear adducts {[Me₂NN]Cu}₂(μ-η²:η¹-ONAr) (<b>2a</b> and <b>2b</b>), which exhibit η² and η¹ bonding of the ArNO moiety with separate [Me₂NN]Cu fragments possessing N−O distances of 1.375(6) Å (<b>2a</b>) and 1.368(2) Å (<b>2b</b>). …”

Effect of incubation time on IC₅₀s for zanamivir, oseltamivir and peramivir. by Susan Barrett (209202)

“…(A) Final higher IC₅₀ values for binding of zanamivir without preincubation compared to preincubation and the decreases in IC₅₀s without preincubation over the 60 min correlate with slow binding. …”

Mean (and standard error) across the pictures category and sprints for mean power output (MPO). by Hamdi Jaafar (787190)

Differences among the classes of CAMs. by Daniel P. Bradley (10306893)

“…A representative HPD <b>1466</b>, with a 50% effective concentration against HBV replication of 0.25 µM, decreased capsid and core protein accumulation by 50–90% in HepDES19 and HepG2.2.15 cells. …”

Mean sum of squares for antioxidant enzymes, protein, MDA and proline of eight mung bean genotypes grown under Cd and pretreatments of GA₃, SA and proline prior to Cd fo... by Meher Hassan (11502144)

Double Mutant of Chymotrypsin Inhibitor 2 Stabilized through Increased Conformational Entropy by Yulian Gavrilov (1365888)

Subjects:

Thresholds and group reproducibility. by Jan Willem Koten (17743224)

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

Supramolecular DNA Photonic Hydrogels for On-Demand Control of Coloration with High Spatial and Temporal Resolution by Yixiao Dong (2174902)

“…Dynamically generating color patterns requires control of nanoparticle organization within a polymer network on-demand, which is challenging. We solve this problem by creating a DNA hydrogel system that shows a 50 000-fold decrease in modulus upon heating by ∼10 °C. …”

The levels of non-heme iron in thalassemia red blood cell membrane treated with 6-shogaol-rich ginger extract at concentrations of 50, 100, and 200 µg/mL. by Hataichanok Chuljerm (19144293)