The Use of Co-Worker Peer-Review as an Alternative Assessment in Leadership Courses to Evaluate Student’s Leadership Qualities (S/O 14756) by Abd Rahim, Nazahah, Ab Rahman, Faizahani

“…This research investigated the effect of peer-assessment in the classroom also known as student peer-assessment, and peer-assessment at the workplace or co-worker peer-assessment on postgraduate students’ leadership skills. …”
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Stingless bee (Heterotrigona itama) honey and its phenolic-rich extract ameliorate oxidant–antioxidant balance via KEAP1-NRF2 signalling pathway by Zulhilmi Cheng, Mohamad Zulhafiz Shafiq, Zulkhairi Amin, Fatin Aina, Zawawi, Norhasnida, Chan, Kim Wei, Ismail, Norsharina, Ishak, Nur Akmal, Mohd Esa, Norhaizan

“…In this current study, the efficacy of stingless bee honey (SBH) and its phenolic-rich extract (PRE) in controlling the oxidant–antioxidant balance in high-fat diet- and streptozotocin/nicotinamide-induced diabetic rats was investigated. …”
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Examining the role of family, media, peers in young Caucasian men’s understandings of body dissatisfaction: a thematic analysis using the tripartite influential model and social comparison theory by Apopei, Daria, Coe, Jennifer, Cordoba, Sebastian

“…It focuses on family, peers, and media influences, addressing a gap in the literature that rarely integrates men’s experiences. …”
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Wholesale central bank digital currencies: approaches, implementation strategies and use cases by Bear, K, Vertex, P, Zhang, B, Hussain, H, Coelho, H

The development of volcanic ash cloud layers over hours to days due to atmospheric turbulence layering by Bursik, Marcus, Yang, Qingyuan, Bear-Crozier, Adele, Pavolonis, Michael, Tupper, Andrew

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Arabidopsis RCD1 coordinates chloroplast and mitochondrial functions through interaction with ANAC transcription factors by Shapiguzov, Alexey, Fernie, Alisdair R., Vainonen, Julia P., Hunter, Kerri, Tossavainen, Helena, Tiwari, Arjun, Järvi, Sari, Hellman, Maarit, Aarabi, Fayezeh, Alseekh, Saleh, Wybouw, Brecht, Van Der Kelen, Katrien, Nikkanen, Lauri, Krasensky-Wrzaczek, Julia, Sipari, Nina, Keinänen, Markku, Tyystjärvi, Esa, Rintamäki, Eevi, De Rybel, Bert, Salojärvi, Jarkko, Van Breusegem, Frank, Brosché, Mikael, Permi, Perttu, Aro, Eva-Mari, Wrzaczek, Michael, Kangasjärvi, Jaakko

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Does bankruptcy law prevent internalization of environmental costs: evidence from China by Li, Xingwei

“…The principle requires those responsible for environmental damage or imminent threats of damage to bear the necessary costs of remediation and prevention. …”
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Lightweight transformers for clinical natural language processing by Rohanian, O, Nouriborji, M, Jauncey, H, Kouchaki, S, Nooralahzadeh, F, Clifton, L, Merson, L, Clifton, DA

“…Specialised pre-trained language models are becoming more frequent in Natural language Processing (NLP) since they can potentially outperform models trained on generic texts. BioBERT (Sanh et al., Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter. …”

AI based stock market trending analysis by Goon, Redmond Aldric Yonghao

“…The evaluation of the final model-comprising BERT and a multivariate LSTM- shows a small improvement in evaluation results for stock price forecasting when incorporating news sentiment acquired through BERT as compared to without sentiments.…”
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Object-oriented indoor navigation for delivery robot by Li, Yuanwei

“…Although the BERT model has good performance in VLN, the mismatch between instructions and visual information at the input leads to navigation errors for robots in similar scenes. …”
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Generalized AutoNLP model for name entity recognition task by Wong, Yung Shen

“…In this project, we have proposed an architecture of a combination of deep-learning based approach word embeddings, BERT with static word embeddings, GloVe. Experiments are conducted to study the performance of our proposed architecture with BERT word embeddings on AutoNLP name entity recognition tasks.…”
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An overview of stock trading with sentiment analysis by Tang, Yi Qwan

“…Utilising multiple sentiment analysis models like Sentic API, TextBlob, VADER, BERT, and FinBERT, alongside varying preprocessing methods and news formats, the research explores optimal trading signals for high-frequency trading. …”
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Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…The Bidirectional Encoder Representation Transformers (BERT) model was applied to detect the sentiment polarities of collected tweets. …”
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Effect of iron (III) oxide concentration on the performance of meta-resonators embedded in cementitious matrix by Sum, Yee Loon, Rheinheimer, Vanessa, Soong, Boon Hee, Paulo J. M., Monteiro

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Sentiment analysis for COVID-19 vaccination news by Lim, Pei Yan

“…Different sentiment analysis models, TextBlob, VADER, Flair and CT-BERT, are used. Several rules are defined through analysis to improve the models' accuracy. …”
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Keyword and named entity recognition on emergency call texts by Hu, Wanyu

“…The model used for this project is the Bidirectional Representations from Transformers (BERT) model. 75% of the Emergency Call Texts dataset is obtained online. …”
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Influence of presumed influence on thinness as a beauty ideal for girls. by Soh, Wai Siong.

“…On the other hand, if the “influence on significant others or female peers” exerts an impact on “influence on self”, it will result in desire to be thin.…”
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Location Selection for Beekeeping in Optimizing Honey Production using Linear Programming Model (S/O 14038) by Abdul Rahman, Syariza, Benjamin, Aida Mauziah, Omar, Mohd Faizal

“…Meliponiculture is an activity of raising stingless bees to obtain bee products, mainly honey. Honey production by bees varies depending on various factors which also affect its amount and quality. …”
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Topological data analysis for fake news detection by Deng, Ran

“…For this task, three individual models have been used: least absolute shrinkage and selection operator (LASSO) using 0th Dimensional Persistent Image (PI) vectors, Bidirectional Long Short-Term Memory (BiLSTM), and Bidirectional Encoder Representations from Transformers (BERT). Two ensemble models were also used to improve performances by supplementing contextual information from deep-learning models with structural information from PI vectors: BiLSTM + TDA and BERT + TDA. …”
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Challenges of online collaborative learning among special needs university students by Hidayu Shafie, Ireena Nasiha Ibnu, Noori, Abdullah, Nurhilleny Rosly, Nadia Anuar, Nur Husna Serip Mohamad

“…Based on the findings of the study, it was found that the SNS in this study mostly had problems communicating with their peers during online collaborative learning. They were not really lacking in collaborative skills, but they were more concerned about their peers’ perspectives on their disabilities, and their abilities to do group work. …”
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