A Multiclass Dataset for Real-Time Fresh and Defective Vegetables 著者: Tarek Rahman (22603898)

主題: “…Food safety, traceability, certification and authenticity…”

Strategic Retrofits Resolve China’s Aluminum Trilemma: Integrated LCSA Modeling Reconciles Emissions, Costs, and Social Risks 著者: Yuxuan Zhao (8956676)

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Data table with samples' code, description and areas under the curves of assigned metabolites in CDCl3 exctract of milk by 1H-NMR 600MHz 著者: GAIA MEONI (21811988)

主題: “…Food safety, traceability, certification and authenticity…”

Data from: Molecular detection and viability discrimination of zoonotic protozoan pathogens in oysters and seawater 著者: Minji Kim (22304680)

主題: “…Food safety, traceability, certification and authenticity…”

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

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

The verification of the output 著者: Paul A. Gagniuc (1818325)

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

Sample verification. 著者: Lauren Lanahan (3165426)

Antibody verification. 著者: 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. 著者: Philippos Michaelides (18463232)

Verification of integrity. 著者: 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 著者: 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 著者: emel mine buğdalı (21421565)

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Verification of sgRNA Knockout Efficiency in HeLa cells. 著者: Lucai Wang (22050158)

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Left and right-side shoulder kinematics for model verification for: A) the static verification task, and B) the dynamic verification task. 著者: Zoe M. Moore (22331721)

The introduction of PDFs. 著者: Chengcheng Ding (9013862)

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Hyperparameters of various algorithms. 著者: Chengcheng Ding (9013862)

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Related operating parameters of power supply equipment. 著者: Chengcheng Ding (9013862)

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Load forecasting curves of typical users. 著者: Chengcheng Ding (9013862)

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Experimental results on CEC2022 and CEC2017. 著者: Chengcheng Ding (9013862)

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Comparison of multi-scene operation results. 著者: Chengcheng Ding (9013862)

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