Changes of greenness in different stages of GRB. by Qiaohui Tong (21696406)

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Change of state variables before and after model simulation. by Qiaohui Tong (21696406)

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Different factors change the acceptance degree of the owner during the renovation. by Qiaohui Tong (21696406)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Dynamic changes in garbage collection volume during different stages of GRB. by Qiaohui Tong (21696406)

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Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Greene et al. raw datasets. by Justin Greene (306625)

Comprehensive benefit model of green building. by Qiaohui Tong (21696406)

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

Results after changing the matching method. by Guangcai Xu (8839523)

“…The PAP mechanism also clearly promoted green economy and livelihoods development in the ECAs. …”

Modelled policy outcomes, with posterior values for individual nodes ranked from 1-5 across the parties - Green, Reform UK, Liberal Democrat, Conservative, and Labour, where 1 is the lowest rank and 5 is the highest. The parties are ranked for each policy node in the network (e.g., income tax), based on the direction of change (“performance indicator”) stated in the first column (e.g., lowest, highest, most, improvement). For example, a value of 5 for Green tax means that green tax is lowest under Reform UK’s policies, while a value of 1 means that green tax is highest under the Green Party’s policies. Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour). by Richard Stafford (174326)

“…Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour).…”

A decrease in the row-2 and row-3 heights in low extracellular calcium is predicted by the model OHB to increase the resting receptor current and decrease the resting deflection of... by Rayan Chatterjee (21416840)

Simulation of specific resource energy consumption, pollution and environmental greenness in the transformation process. by Qiaohui Tong (21696406)

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Data Sheet 1_The impacts of landscape structure changes on urban surface temperature and heat islands formation of a growing city in southern Sri Lanka.pdf by Dilnu Chanuwan Wijesinghe (19697697)

“…The results further revealed that Impervious Surface rapidly developed within 4 km (URGZ1-19) from city center, while Green Surface decreased. Newly built-up areas within the 1.5 km gradient (URGZ1-URGZ8) were more affected by increased LST. …”

Temporal changes of older adults’ health level in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

Identification and analysis framework of constraints for GRB. by Qiaohui Tong (21696406)

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System dynamics modeling process. by Qiaohui Tong (21696406)

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GRB process and standards. by Qiaohui Tong (21696406)

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CLD in system dynamics. by Qiaohui Tong (21696406)

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