POTASSIUM DOES NOT ATTENUATE SALT STRESS IN YELLOW PASSION FRUIT UNDER IRRIGATION MANAGEMENT STRATEGIES by GEOVANI SOARES DE LIMA (5084936)

“…The experiment was conducted under field conditions in São Domingos, PB, Brazil. A randomized block design was used in a 6 * 2 factorial scheme. …”

TEA block of transient K current in rabbit CB chemoreceptor cells by Olaia Colinas (45959)

“…(A) Representative experiment showing the decrease in the peak current amplitude in depolarizing pulses to +40 mV upon application to the bath solution of TEA at concentrations from 10 M to 10 M as indicated. …”

Image_1_The Nutritional Properties, Chemical Compositions, and Functional Characteristics of the Aerial Parts of Adonis coerulea.PNG by Lixia Dai (10122968)

“…These results highlight the potential of A. coerulea as a source of active ingredients in pharmaceutical industries.…”

Photomicrographs of testicular tissue expression of cleaved caspase-3 immune-stained. by Ahmed M. Nagy (20570559)

“…<p><b>a</b>: Normoglycemic control (N) which showed negative expression. …”

Characterization of Tzb-refractory <i>HER2</i>-gene Amplified SKBR3 Breast Cancer Cells. by Alejandro Vazquez-Martin (75018)

“…Treatment with Tzb concentrations as high as 100 µg/mL Tzb failed to significantly decrease cell viability in TzbR POOLs whereas a 10 times lower concentration of Tzb drastically reduced cell viability (>50%) in SKBR3 parental cells. …”

Data_Sheet_1_The Influence of Light Intensity and Leaf Movement on Photosynthesis Characteristics and Carbon Balance of Soybean.docx by Lingyang Feng (6181496)

“…</sub> Leaf petiole movement and leaf hyponasty in each treatment has presented a tendency to decrease the leaf angle from L₅₀₀ to L₁₀₀. …”

Table_4_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Data_Sheet_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.ZIP by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_3_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_7_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_6_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Image_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.TIF by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Table_5_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…Next, the CoMB-Deep explores the best combination of fused features, enhancing the performance of the classification process using two search strategies. Afterward, it employs two feature selection techniques on the fused feature sets selected in the previous step. …”

Srp drives an overgrowth of the wing disc. by Kyra Campbell (582914)

“…Ratios show the reproducibility of the phenotype are shown. Scale bars A-C—100μm; J-L—50μm.</p>…”

Influence of the heterogeneity of the tissue conductivity on the potential field and threshold currents. by Sébastien Joucla (312219)

“…These variations result in smaller threshold currents than in the homogeneous model (2.1 mA vs 3.8 mA, respectively). At 3 mm, these field variations are even smaller leading to little decrease of the threshold currents (87.4 mA vs 100.0 mA).…”

Effect of RON on GCL cell count in vehicle or CS-injected eyes. by Nicolás Belforte (328093)

“…<p>Cell count in the GCL/100 µm was evaluated by H&E staining and Thy-1, NeuN and Brn3a immunostaining after 10 weeks of treatment with vehicle or CS in eyes submitted to sham operation or RON at 3 (upper panel) or 6 (lower panel) weeks of treatment. …”

Changes of protein localization upon starvation-induced stress. by Matthias Rieckher (222923)

“…Size bars correspond to 100μm. (B) IFE-2::GFP and (C) DCAP-1::dsRED fluorescent intensity quantification of the 3 animals in (A) individually and in the group.…”

Irregularities in Illumina coverage used to identify chimeras and sequencing error. by Kristine M. Wylie (147636)

“…In the middle of the Roche sequence, the Illumina sequences decrease to approximately 60 bp before returning to 100 bp in length. …”

Hippocampalsynaptophysin in prion-diseased and normal brain homogenate-inoculated animals. by Kathryn J. Hilton (426924)

“…<p>Sy38 labelling of the presynaptic marker synaptophysin in a) NBH, b) ME7, c) 79A, and d) 22L at 13 weeks post-inoculation. e) The laminar structure of the hippocampus of an NBH animal: there is particularly dense synaptophysin labelling in the stratum oriens and <i>radiatum</i> in CA1 and CA3 and at the border between the granule cells and the molecular layer of the dentate gyrus. f) There is a significant decrease in the ratio of synaptic density in the stratum radiatum versus the synaptic density in the stratum lacunosum for all three prion strains when compared to NBH animals. ** <i>P</i> < 0.01, by Bonferroni <i>post hoc</i> test after a significant one-way ANOVA (n=3-4 sections from each of 3 animals per treatment group). …”