Presentation 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.pptx by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 4_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 3_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 7_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 2_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Data Sheet 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.zip by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Table 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.docx by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

Image 5_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.tif by Liuqing Yang (128705)

“…Astragalus, Salvia, and Safflower are the primary elements of Xuebijing, commonly used in the clinical treatment of sepsis. …”

During non-lethal stress, non-canonical cleavage of CASP7 occurs at calpain cleavage sites; related to Fig 4. by Gayathri Samarasekera (2610199)

“…(<b>E</b>) Quantification of LC3B-based autophagy flux in MG132-treated cells shown in (D) relative to MG132-treated scramble-siRNA control. …”

Climate anomalies due to Cerrado native vegetation loss by Argemiro Leite-Filho (10283801)

“…<p dir="ltr">Description of the data and file structure</p><p dir="ltr">The Cerrado, occupying over 2 million square kilometers, is often referred to as the world's most biodiverse savanna. …”

Detecting Deception with Emotion -The Role of Emotional AI in Combating Social Engineering Attacks by Stephen Mikah Makoshi by Stephen Mikah Makoshi (20998469)

“…Issues such as emotional data privacy, informed consent, algorithmic bias, and compliance with global data protection regulations (e.g., GDPR, CCPA) are critically examined.…”

Figure 3 from Chromothripsis-Mediated Small Cell Lung Carcinoma by Natasha Rekhtman (15014156)

“…<b>B,</b> CN log ratio plots from the FACETS algorithm displaying the distinctive oscillating CN states on chromosomes with chromothripsis. …”

Table 1_CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines.xlsx by Shubham Choudhury (9192026)

“…Using composition and correlation based features, machine learning algorithms achieved an average AUC of 0.7049 and 0.7089, respectively for 15 cell-lines. …”

Table 2_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx by Andy A. Acosta-Monterrosa (22141996)

“…</p>Conclusion<p>Large, clinically actionable allele-frequency contrasts and pronounced discovery biases confirm the need for ancestry-aware PGx testing and locally calibrated dosing algorithms in Colombia. …”

Table 1_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx by Andy A. Acosta-Monterrosa (22141996)

“…</p>Conclusion<p>Large, clinically actionable allele-frequency contrasts and pronounced discovery biases confirm the need for ancestry-aware PGx testing and locally calibrated dosing algorithms in Colombia. …”

Table 3_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx by Andy A. Acosta-Monterrosa (22141996)

“…</p>Conclusion<p>Large, clinically actionable allele-frequency contrasts and pronounced discovery biases confirm the need for ancestry-aware PGx testing and locally calibrated dosing algorithms in Colombia. …”

Supporting files for thesis "Deep-learning-based Morphological Modelling: Case Study in Soft Robot Control, Shape Sensing and Deformation" by Yingqi Li (9151304)

“…The algorithm of deep deterministic policy gradient (DDPG) along with domain randomization and offline retraining facilitates fast initialization and stable path following, even under varying tip load, demonstrating its advantages over Jacobian model-based and supervised-learning-based control methods. …”

Processing of Published Data and Construction of the Core UVmap Reference by David Adams (10283936)

“…Subsequently, manual cell identity was assigned based on results from the automated process, available original cell labels, and specific gene expression patterns analyzed via the Wilcoxon rank-sum test. …”

BABAPPA GUI: A Codeml-Centered Positive Selection Analysis Software by Krishnendu Sinha (22324114)

“…</p><h3>Key features</h3><ul><li>Intuitive GUI to run Codeml-based positive selection analyses without extensive command-line work.…”