Zinc toxicity to Daphnia magna in a two-species microcosm can be predicted from single-species test data: the effects of phosphorus supply and pH by Andreas Fettweis (5153576)

Supplemental data for "A fat- and sucrose-enriched diet causes metabolic alterations in mdx mice." by Swathy Krishna (13912350)

Image_4_Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study.TIF by Tao-Ran Li (6598853)

“…We then established two classification models (support vector machine [SVM] and random forest [RF]) to verify the efficiency of the retained features. Five-fold cross-validation and 100 repetitions were carried out for the above process. …”

Table_2_Transcriptional Profiles of Skeletal Muscle Associated With Increasing Severity of White Striping in Commercial Broilers.XLSX by Yuwares Malila (6173798)

Data_Sheet_1_Radiomics Analysis of Magnetic Resonance Imaging Facilitates the Identification of Preclinical Alzheimer’s Disease: An Exploratory Study.docx by Tao-Ran Li (6598853)

“…We then established two classification models (support vector machine [SVM] and random forest [RF]) to verify the efficiency of the retained features. Five-fold cross-validation and 100 repetitions were carried out for the above process. …”

Table_3_Transcriptional Profiles of Skeletal Muscle Associated With Increasing Severity of White Striping in Commercial Broilers.XLSX by Yuwares Malila (6173798)

Data_Sheet_1_Transcriptional Profiles of Skeletal Muscle Associated With Increasing Severity of White Striping in Commercial Broilers.zip by Yuwares Malila (6173798)

Table_1_Transcriptional Profiles of Skeletal Muscle Associated With Increasing Severity of White Striping in Commercial Broilers.XLSX by Yuwares Malila (6173798)

Secondary structures of α-synuclein retained after temperature pretreatments and were fully reversible upon temperature denaturation. by Winny Ariesandi (275766)

“…The temperature was increased from 5 to 100°C (solid symbols) or decreased from 100 to 5°C (empty symbols) with temperature changed at a rate of 1.7°C/min. …”

Overexpression of CCP5A and CCP5B inhibited RCD. by Louise Basmaciyan (4576624)

“…(B) Percentage of dead (TUNEL-positive and anucleated) WT, CCP5A and CCP5B overexpressing cells after the addition of 40μM of miltefosine or 50 μm of curcumin: means ± sd from three independent experiments. …”

Distinct Roles of MicroRNA-1 and -499 in Ventricular Specification and Functional Maturation of Human Embryonic Stem Cell-Derived Cardiomyocytes by Ji-Dong Fu (196646)

“…By contrast, LV-miR-1 transduction did not bias the yield (p>0.05) but decreased APD and hyperpolarized RMP/MDP in hE-VCMs due to increased I_to, I_Ks and I_Kr, and decreased I_f (p<0.05) as signs of functional maturation. …”

CCDC66 localizes to the axoneme and regulates primary cilium stability but not cilia formation in IMCD3 cells. by Jovana Deretic (13113617)

“…The mean cilia length in CCDC66-depleted cells decreased to 0.67-fold compared to the mean control length. …”

MeCP2 expression in excitatory versus inhibitory cells of the developing dLGN. by Yuki Yagasaki (402238)

“…P30: 774 cells for 6 animals. P50: 463 cells for 5 animals. <b>(D)</b> The number of GABAergic and glutamatergic neuron in 10000 μm² decreased between P10 and P20. …”

The inhibition of GSK3β attenuates cell proliferation, induces apoptosis, arrests cells in GO/G1 phase and increases cell invasiveness. by Jing Zeng (105826)

Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

“…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”

Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

“…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”

Data_Sheet_1_Socioeconomic disparities associated with mortality in patients hospitalized for COVID-19 in Colombia.pdf by Oscar Ignacio Mendoza Cardozo (14856355)

“…The main exposure variable was the CMPI that ranges from 0 to 100% and was categorized into five levels: (i) level I (0%−20%), (ii) level II (20%−40%), (iii) level III (40%−60%), (iv) level IV (60%−80%); and (v) level V (80%−100%). …”

The susceptibility of <i>Y. enterocolitica</i> O:9 strains with and without protein OmpX to normal human serum. by Karolina Skorek (487088)

“…The numbers of CFU/ml were normalized to the T₀ values as a percentage and then converted to log₁₀ to show the survival rate of the bacteria in NHS. Data are the means ±SD from three independent experiments. The survival of both strains decreased in NHS during incubation and the differences between strains were not statistically significant (one way ANOVA with Tukey's comparison post-test).…”

Estimation and sensitivity analysis of model parameter <i>s</i>. by Moran Elishmereni (203218)

“…Simulations (lines) are shown with respect to data (circles), given as means±SEM.</p>…”

Friends as sensors yield early detection of the use of hashtags. by Manuel Garcia-Herranz (549453)

“…<p>a) Measures of lead times based on simulations of an infection spreading through a network with infection probability and recovery probability on a Barabasi-Albert random network with tail exponent show that a sensor group tends to provide earlier warning than a randomly-chosen control group in smaller samples, but decreasing sampling variation in larger sample sizes means that the statistical likelihood of providing early warning is maximized in moderately-sized samples. b) Observed results for hashtags on Twitter used by 1% of the individuals using a hashtag of each sample. c) Average lead time of first usage of each hashtag in the sensor group vs. the control group for all hashtags used by at least 10 users in each of 5 random samples of 50,000 random users.…”