Upcycling of Postconsumer Recyclate Polypropylene into Low Warping and High Toughness 3D Printable Filaments by Animesh Gopal (18521180)

Subjects:

Upcycling of Postconsumer Recyclate Polypropylene into Low Warping and High Toughness 3D Printable Filaments by Animesh Gopal (18521180)

Subjects:

Data Sheet 1_EURAD state-of-the-art report: thermo-hydro-mechanical behaviour of clay buffers at high temperatures.pdf by María Victoria Villar (20955281)

AI KRegression by CHIN-CHENG CHU (20718575)

Table 1_Food waste management practices in hospital foodservices and their associated greenhouse gas emissions: potential for increased environmental sustainability.docx by Yee Man Janis Yip (21346568)

“…While various food waste management strategies exist that divert hospital food waste to an alternative end of life pathway to landfill, it is not clear which can decrease GHG emissions the most. …”

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Analysis of Drugs in Whole Blood by Paper Spray Mass Spectrometry with Integrated Solid-Phase Extraction by Greta Ren (9974860)

“…The blood wicks through the SPE to the waste pad, and the sample is left to dry until analysis. …”

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Flow chart of data screening and analysis. by Yan She (8639796)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Supplementary Material for: Dent Disease 1 Presented Early with Bartter-Like Syndrome Features and Rickets: a Case Report by Ambarsari C.G. (16518681)

“…Conclusion: This case report highlights the importance of considering DD in differential diagnoses of children with the pseudo-Bartter syndrome, that is, renal salt and potassium wasting, with or without hypercalciuria and nephrocalcinosis. …”

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)

S1 Dataset - by Mphatso Nancy Chisala (20477275)

“…But the prevalence of edema decreased by 40% whereas dehydration, difficulty breathing, and pallor became more common. …”

Propofol wash-in. by Anne S. Fleiner (20496284)

“…(ii) A significantly larger decrease in post-burst spikes was observed after wash-in of both 3 μM and 10 μM propofol compared to the control (0 μM). …”

Rab10 operates downstream of Rtca to inhibit regeneration. by Qin Wang (109812)

“…<p>(A) Rab10 fluorescence intensity is decreased in <i>Rtca</i> mutants. C3da cell bodies are marked by a dotted white line, and the injured site by a dotted blue circle. …”

Image 2_Trends in cancer incidence and mortality in the process of metropolitanization of Shanghai, 1973–2017.jpeg by Jiejie Qin (8123540)

“…</p>Results<p>Multivariate ridge regression analysis indicated that the number of divorces, total waste gas from industry, areas of buildings completed, and number of computers probably drove the increase in cancer incidence, and health expenditure and medical insurance cost probably contributed to the decrease in cancer mortality in Shanghai. …”

Image 1_Trends in cancer incidence and mortality in the process of metropolitanization of Shanghai, 1973–2017.jpeg by Jiejie Qin (8123540)

“…</p>Results<p>Multivariate ridge regression analysis indicated that the number of divorces, total waste gas from industry, areas of buildings completed, and number of computers probably drove the increase in cancer incidence, and health expenditure and medical insurance cost probably contributed to the decrease in cancer mortality in Shanghai. …”