Table comprehensive performance comparison of classical, quantum, and hybrid models across datasets. -н Danish ul Khairi (19660534)

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Test accuracy (%) of NNQEv1 and NNQEv2 with different optimizers across 1 to 5 layers on the apple dataset. -н Danish ul Khairi (19660534)

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Sample images of FruitQ dataset. -н Danish ul Khairi (19660534)

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Quantum circuit diagrams for different layers and entangling gates: (a) Layer 1 with NNQEv2 entangler. -н Danish ul Khairi (19660534)

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(a) CNOT Encoded Features (b) CZ Encoded Features. -н Danish ul Khairi (19660534)

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CNOT encoded features and CZ encoded features. -н Danish ul Khairi (19660534)

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Transpiled CZ quantum gate circuit showing the more efficient decomposition into 3 native gates with a circuit depth of 6. -н Danish ul Khairi (19660534)

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Factors influencing the notification of CE cases in Germany. -н Elisabeth Schorling (15188192)

“…<p>Factors influencing the notification of CE cases in Germany.</p>…”

2019–2022 TB notification, adherence and treatment outcome. -н Arangba S (21656068)

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District level cough syrup sales from private sector (mean in litres, per 0.1 million population, quarterly*) and TB notification rates (total notification, private sector notification, missed notification from private sector per 0.1 million population, quarterly*), across 33^ districts of Rajasthan, India, January 2021 – March 2024 -н Kalika Gupta (22280926)

“…</p><p dir="ltr">Methods: This was an ecological study to correlate cough syrup sales and that of missed TB notifications from private sector. We calculated missed TB notification rate in private sector as the difference between the estimated people on TB treatment and TB notification in private sector. …”

Engagement, app interactions and notifications over the study period per participant. -н Daniel Leightley (6587102)

“…<p>Engagement, app interactions and notifications over the study period per participant.</p>…”

The verification of the output -н Paul A. Gagniuc (1818325)

“…<p dir="ltr"><b>The verification of the output</b>. (A) initial transition matrix (T1) of the simulator. …”

Sample verification. -н Lauren Lanahan (3165426)

Antibody verification. -н Lan Xia (443866)

“…<p>(A) Overexpression verification. HEK293T cells were transfected with CFAP77-, CCDC105-, or TEX43-tagged plasmids; both tag-antibodies and their antibodies recognized a specific band at the same molecular size. …”

Model verification. -н Philippos Michaelides (18463232)

Verification of integrity. -н Chin-Ling Chen (17542074)

<b>Figure 1.</b>District level trends in cough syrup consumption from private sector (mean in litres, per 0.1 million population, quarterly*) andTB notification rates(total notification, private sector notification, missed notification from private sector per 0.1 million population, quarterly*), across 33^ districts of Rajasthan, India, January 2021 – March 2024 -н Kalika Gupta (22262563)

“…District level mean quarterly overall notification rate was 43 per 0.1 million population: lowest in April-June 2021 and highest in April-June 2022) and it was 12 per 0.1 million population in private sector: lowest in January-March 2023 and highest in July-September 2021.District level mean quarterly missed private notification rate was 81 per 0.1 million population: lowest in January-March 2023 and highest in January-March 2022 (<b>Figure 1</b>). …”

Deep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk DriversDeep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk Driversdatabase_Deep Learning for Systemic Food Safety Analytics: Forecasting RASFF Notifications and Interpreting Risk Drivers.xlsx -н emel mine buğdalı (21421565)

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Verification of sgRNA Knockout Efficiency in HeLa cells. -н Lucai Wang (22050158)

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Comparison of parameter estimation between the proposed SIR model and the SIR ATMM using RABC. -н Thien-Minh Le (22075988)

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