<b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b> by Bo Chao (1916083)

“…West Lake Taihu (WTH), the largest natural pretreatment reservoir of Lake Taihu, was selected as the case study for assessing long-term (2008–2023) pollution dynamics. …”

Image_12_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_11_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_9_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_2_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_10_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_5_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_3_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_13_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_6_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Image_14_Strain level and comprehensive microbiome analysis in inflammatory bowel disease via multi-technology meta-analysis identifies key bacterial influencers of disease.TIFF by Jayamary Divya Ravichandar (13957323)

“…Most published studies report taxa-disease associations based on single-technology analysis of a single cohort, potentially biasing results to one clinical protocol, cohort, and molecular analysis technology. …”

Time evolution of cooperation, harvest rates and a renewable resource for three different levels of future certainty. by Gunnar Brandt (106545)

“…<p>Increasing the maximum discount factor (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0052763#pone.0052763.e229" target="_blank">Equation 8</a>) lowers the current harvest (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0052763#pone.0052763.e198" target="_blank">Equation 3</a>, lower panels <b>d</b>–<b>f</b>, green shaded area), but raises the future resource productivity that is considered by the users (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0052763#pone.0052763.e218" target="_blank">Equation 7</a>, blue shaded area). Cooperation decreases sharply when future pay-offs are ignored (<b>a</b>, 0.0) causing an immediate resource collapse (<b>d</b>, black solid line (model) and gray dots (experimental data from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0052763#pone.0052763-Janssen1" target="_blank">[9]</a>)). …”

 Rapid Deployment Valve Over Aortic Mechanical Valve by Corrado Cavozza (5496989)

“…</p> <p>After the patient was admitted, a transthoracic echocardiography showed a mean gradient of 60 mmHg, an indexed aortic valve area of 0.27 cm2/m2, and decreased biventricular ejection fraction. …”

Data_Sheet_2_Trends in global burden of diseases attributable to lead exposure in 204 countries and territories from 1990 to 2019.pdf by Nan Zhou (170721)

“…China, India and Bangladesh were top three countries with the largest number of deaths and DALYs in 2019. The ASMR (per 100,000 population) decreased from 14.47 (95% UI: 8.40, 21.43) to 11.48 (95% UI: 7.00, 16.49) with EAPC of −0.75 (95% UI: −0.87, −0.64), and the ASDR (per 100,000 population) decreased from 378.01 (95% UI: 240.55, 524.18) to 267.52 (95% UI: 170.57, 373.44) with EAPC of −1.19 (95% UI: −1.32, −1.07). …”

Data_Sheet_2_Differential assembly of root-associated bacterial and fungal communities of a dual transgenic insect-resistant maize line at different host niches and different growt... by Zhongling Wen (13878743)

“…Plant materials used in this study included the control maize line B73 and the mcry1Ab and mcry2Ab dual transgenic insect-resistant maize line 2A-7. …”

Optimal chunking model. by Kristjan Kalm (4030913)

“…Note that as new data is observed the evidence for any particular model decreases as the set of data becomes larger and the space of possible models increases exponentially. …”

Dynamic range of NMDAR subtype and the scalability to a physiological synapse. by Pallab Singh (348794)

“…NR2A-NMDAR activation increases (p<0.05) over the physiological range of univesicular glutamate release (500–1,500 molecules), but saturates at larger glutamate levels (shaded in gray), while activation of NR2B-containing NMDARs significantly increases only in the range of multivesicular glutamate release (2,000–10,000) (p<0.05). …”

Upper urinary tract stone compositions: the role of age and gender by Shu Wang (180520)

“…Males included more cases with larger BMI, hyperuricemia, and obesity, while females had more urinary tract infections. …”

Data (circles) and model fits (solid black lines) showing how the proportion of mice infected and the expectation and variance of the incubation period vary according to the relati... by Helen R. Fryer (194033)

“…However, the data at relative dose -3 and the model both indicate that a much larger sample size than the one used (N = 11) would be needed to find at least one infected mice at this dose. …”

Maximum Likelihood Estimation in the Inverse Weibull Distribution with Type II Censored Data by Alshaikh, Fatima A.

“…Moreover, the mean squared error of all estimators decreased for larger sample sizes and it increased when the censoring proportion is increased for a fixed sample size. …”
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