Supplementary materials for PhD thesis 'Characterisation Of The Blazhko Effect In RR Lyrae Stars Using SuperWASP Data' by Paul Greer (22619328)

“…Blazhko periods were calculated for 18 out of 20 highly modulated objects by phase-folding the amplitude modulation induced upper envelope function of their light curves.<br><br>983 Blazhko objects have been identified using coincident low frequency peaks and sidebands, or equidistant sidepeaks, in frequency spectra created using the CLEAN algorithm. …”

Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy by Han Zhong (5159162)

“…When both the value and policy functions are represented by multi-layer overparameterized neural networks, we prove that our actor-critic algorithm generates a sequence of policies that finds a globally optimal policy at a sublinear rate. …”

Experimental design scheme. by Mario Grassi (1536940)

“…The results show that the SEMdag() procedure can recover a graph structure with good disease prediction performance evaluated by a conventional supervised learning algorithm (RF): in the scenario where the initial graph is sparse, the BU approach may be a better choice than the KB one; in the case where the graph is denser, both BU an KB report high performance, with highest score for KB approach based on topological layers. …”

Data Sheet 1_Riparian habitat quality and seasonality drives spatiotemporal habitat ecology of sympatric Asian otters in southern Western Ghats.docx by Ankit Moun (18014047)

“…Introduction<p>Riparian habitats in the Western Ghats are vital semi-terrestrial zones playing multi-functional roles in the conservation of freshwater species. …”

Forearm motor unit control project by INcEPTION (16610781)

“…Participants performed three different tasks: simultaneous four-finger flexion without thumb involvement (four-finger flexion), thumb flexion, and simultaneous flexion of both fingers and thumb (grasping). Motor units were decomposed from high-density surface electromyograms detected from the extrinsic finger flexor muscles using this <a href="https://pubmed.ncbi.nlm.nih.gov/26924829/" rel="noreferrer" target="_blank">algorithm</a> and tracked across tasks. …”

Data Sheet 2_Identification and validation of immune-related and inflammation-related genes in endometriosis.csv by Yanzhen Zhou (21264719)

“…Finally, validation analysis using the online database and qRT-PCR confirmed that MET expression aligned with outcomes from both training and validation datasets.</p>Conclusion<p>Three immune- and inflammation-related genes were identified as potential biomarkers of endometriosis, providing new insights into the molecular mechanisms underlying immune function in endometriosis. …”

Table 1_Identification and validation of immune-related and inflammation-related genes in endometriosis.csv by Yanzhen Zhou (21264719)

“…Finally, validation analysis using the online database and qRT-PCR confirmed that MET expression aligned with outcomes from both training and validation datasets.</p>Conclusion<p>Three immune- and inflammation-related genes were identified as potential biomarkers of endometriosis, providing new insights into the molecular mechanisms underlying immune function in endometriosis. …”

Data Sheet 1_Identification and validation of immune-related and inflammation-related genes in endometriosis.zip by Yanzhen Zhou (21264719)

“…Finally, validation analysis using the online database and qRT-PCR confirmed that MET expression aligned with outcomes from both training and validation datasets.</p>Conclusion<p>Three immune- and inflammation-related genes were identified as potential biomarkers of endometriosis, providing new insights into the molecular mechanisms underlying immune function in endometriosis. …”

Table 3_Identification and validation of immune-related and inflammation-related genes in endometriosis.csv by Yanzhen Zhou (21264719)

“…Finally, validation analysis using the online database and qRT-PCR confirmed that MET expression aligned with outcomes from both training and validation datasets.</p>Conclusion<p>Three immune- and inflammation-related genes were identified as potential biomarkers of endometriosis, providing new insights into the molecular mechanisms underlying immune function in endometriosis. …”

Table 2_Identification and validation of immune-related and inflammation-related genes in endometriosis.csv by Yanzhen Zhou (21264719)

“…Finally, validation analysis using the online database and qRT-PCR confirmed that MET expression aligned with outcomes from both training and validation datasets.</p>Conclusion<p>Three immune- and inflammation-related genes were identified as potential biomarkers of endometriosis, providing new insights into the molecular mechanisms underlying immune function in endometriosis. …”

Data Sheet 1_Alterations in gut microbiota and plasma metabolites: a multi-omics study of mild cognitive impairment in Parkinson’s disease.docx by Zihao Lin (9312240)

“…Multi-algorithm differential abundance analysis identified g__Eggerthella as a core depleted genus in PD-MCI, consistently validated across both LEfSe and MaAsLin2 analyses. …”

Global Household Size and Energy Use Intensity Under Shared Socioeconomic Pathways from 1960 to 2100 by Eugénio Rodrigues (2869517)

“…Harmonized household sizes from the CORESIDENCE project (<a href="https://www.nature.com/articles/s41597-024-02964-3" rel="noreferrer" target="_blank">https://www.nature.com/articles/s41597-024-02964-3</a>) were used to train an XGBoost model with customized objective function and evaluation metrics to prevent rural and urban household sizes from being both greater or smaller than the national average.…”

Block diagram of 2-DOF PIDA controller. by Erdal Eker (19251018)

“…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. …”

Zoomed view of Fig 7. by Erdal Eker (19251018)

“…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. …”

Zoomed view of Fig 10. by Erdal Eker (19251018)

“…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. …”

Survey Data on NSSI, Stress Response, Emotional Regulation Strategies and gender in Chinese Undergraduates by Yilin Ma (21154754)

“…</li></ul><p dir="ltr"><b>Usage Notes</b></p><ul><li></li><li>Each row represents one participant; columns include both item‑level and aggregated subscale scores.</li><li>Recommended software: R (packages <b>tidyverse</b>, <b>networktools</b>, <b>devtools</b>, <b>qgraph</b>/<b>bootnet and nodeIdentifyR</b>)</li><li>Considering the simulated generation process of the NIRA algorithm and the randomness of bootstrapping in the Bootnet package, slight variations may occur in the changes of total scores after each silico intervention.…”

Latently Mediating: A Bayesian Take on Causal Mediation Analysis with Structured Survey Data by Alessandro Varacca (20278796)

“…<p>In this paper, we propose a Bayesian causal mediation approach to the analysis of experimental data when both the outcome and the mediator are measured through structured questionnaires based on Likert-scaled inquiries. …”

Supplementary file 1_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.docx by Xuan Wang (55634)

“…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …”

Table 2_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.xlsx by Xuan Wang (55634)

“…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …”

Table 3_Exploration of the shared gene signatures and molecular mechanisms between cardioembolic stroke and ischemic stroke.xlsx by Xuan Wang (55634)

“…</p>Results<p>There were 125 shared up-regulated genes and 2 shared down-regulated between CS and IS, which were mainly involved in immune inflammatory response-related biological functions. The Maximum Clique Centrality algorithm identified 25 core shared genes in the PPI network constructed using the shared genes. …”