Hello hygiene? A campaign on smartphone hygiene by Aisha Lin Tamrend, Ng, Eve Ling Nuan, Muhammad Sadikin Muhamad Jailani, Wong, Eenette Mei-Yin

“…This paper presents “Hello, Hygiene?”, a public health campaign by four final-year undergraduates from the Wee Kim Wee School of Communication and Information, Nanyang Technological University. …”
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Bella's empowerment - why the twilight saga is not anti-feminist. by See, Shawn Kai Sheng.

“…Meyer delineates how caught in between the fantastical world of these mythical arch-enemies, Bella, a weak and hapless human, successfully navigates and plots her own path such that by the end of the series supernatural hostilities are buried and Bella is able to create her very own happily ever after.…”
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i-EMS App by Osman, Anuar

“…I-EMS App has two main functions. Firstly, it is technologically convenient to use for emergency frontline responders to access the various services such as operational information and criteria management. …”
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ELM embedded discriminative dictionary learning for image classification by Zeng, Yijie, Li, Yue, Chen, Jichao, Jia, Xiaofan, Huang, Guang-Bin

“…In this work we propose a simple and effective framework called ELM-DDL to address these issues. Specifically, we represent input features with Extreme Learning Machine (ELM) with orthogonal output projection, which enables diverse representation on nonlinear hidden space and task specific feature learning on output space. …”
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Sound based snore signal analysis using ELM by Toh, Violet Mei Sze.

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Adversarial Prompt Transformation for Systematic Jailbreaks of LLMs by Awoufack, Kevin E.

“…The rapid integration of Large Language Models (LLMs) like OpenAI’s GPT series into diverse sectors has significantly enhanced digital interactions but also introduced new security challenges, notably the risk of "jailbreaking" where inputs cause models to deviate from their operational guidelines. …”
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Demystifying AI: bridging the explainability gap in LLMs by Chan, Darren Inn Siew

“…This project looks at the exploration of Retrieval-Augmented Generation (RAG) with large language models (LLMs) to try and improve the explainability of AI systems within specialized domains, such as auditing sustainability reports. …”
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NOx measurements in vehicle exhaust using advanced deep ELM networks by Ouyang, Tinghui, Wang, Chongwu, Yu, Zhangjun, Stach, Robert, Mizaikoff, Boris, Huang, Guang-Bin, Wang, Qijie

“…Moreover, to further improve the regression performance the proposed deep ELM was provided with features derived from supervised learning improving its ability to address target constituents. …”
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EMS software developement for micro grid by Tian, Tian.

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EMS of hybrid AC/DC micro grid by Zhao, Yi

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Cryo-EM structure of the Mycobacterium smegmatis ribosome by Mishra, Satabdi

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Use of large language models (LLMs) for personalized and accessible mental health support by Lee, Junwei

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Advancing IoT and Cloud Security through LLMs, Federated Learning, and Reinforcement Learning by Ghanem, Mohamed Chahine

“…Recent developments in AI, particularly Large Language Models (LLMs), Federated Learning (FL) and Deep Reinforcement Learning (DRL), present innovative solutions to bolster IoT and cloud security. …”
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Streamlining electronic reporting of serious adverse events (SAEs) using the REDCap data collection system: the eSAE Project by Black, J, Julier, P, Eldridge, L, Barber, V

“…This functionality ‘The eSAE Project’ is now an active project for all of our new trials where data collection is undertaken using the REDCap system.…”

Investigation of Effective Microorganism (Em-Mudball) in raw water treatment by Muhammad Ariff Azwan, Azmi, Mohd Najib, Razali, Najmuddin, Mohd Ramli, Obi, Nasreldeen Ishag, Anuar, Amira Ermafiqka

“…EM-mudball is a green technology product used to treat raw water by using effective microorganisms. …”
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Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depression by Liu, Jiaying (Lizzy), Wang, Yunlong, Lyu, Yao, Su, Yiheng, Niu, Shuo, Xu, Xuhai, Zhang, Yan

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Closer and Closer Worlds: Using LLMs to Surface Personal Stories in World-building Conversation Games by Lee, Cassandra, Mindel, Jessica

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Counter-checking uncertainty calculations in Bayesian operational modal analysis with EM techniques by Ma, Xinda, Au, Siu-Kui

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Cryo-EM structure and evolutionary history of the conjugation surface exclusion protein TraT by Seddon, C, David, S, Wong, JLC, Ishimoto, N, He, S, Bradshaw, J, Low, WW, Frankel, G, Beis, K

“…Here, we show that TraT from the pKpQIL and F plasmids (TraTpKpQIL and TraTF) exhibits plasmid surface exclusion specificity. The cryo-EM structures of TraTpKpQIL and TraTF reveal that they oligomerise into decameric champagne bottle cork-like structures, which are anchored to the outer membrane via a diacylglycerol and palmitic acid modified α-helical barrel domain. …”

Augmenting research consent: should large language models (LLMs) be used for informed consent to clinical research? by Allen, J, Schaefer, O, Porsdamm Mann, S, Earp, B, Wilkinson, D

“…The integration of artificial intelligence (AI), particularly large language models (LLMs) like OpenAI’s ChatGPT, into clinical research could significantly enhance the informed consent process. …”