Nanotwins-containing microstructure and superior mechanical strength of a Cu‒9Al‒5Fe‒5Ni alloy additively manufactured by laser metal deposition by Li, Boyuan, Zheng, Han, Han, Changjun, Zhou, Kun

“…The yield strength of the LMD-printed alloy was 160% and 76% higher than that of the counterparts fabricated by casting and wire arc additive manufacturing, respectively, which was attributed to the synergistic effects of the underlying mechanisms including the Hall-Petch type strengthening, dislocation strengthening, precipitation strengthening, and solid solution strengthening. These findings validated the applicability of LMD for printing the Cu‒9Al‒5Fe‒5Ni alloy and facilitated the potential applications in marine and offshore industries.…”
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Technological opportunities and challenges for Singapore logistics firm (sea perspective) by Tan, Bronessa Yan Ning

“…Therefore, we have conducted interviews with various industry representatives from both the maritime and technological sectors to gather their perspectives on this subject matter, and learn how they could overcome these challenges, to become successful enterprises and start-ups today. The findings showed commonality across the firms, despite the difference in size and nature, and a series of recommendations are taken from their experience to encourage Singapore’s maritime logistics firms to digitalise.…”
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Promoting hydrogen-evolution activity and stability of perovskite oxides via effectively lattice doping of molybdenum by Zhang, Zhenbao, Chen, Yubo, Dai, Ziyang, Tan, Shaozao, Chen, Dengjie

“…We ascribe the enhanced operational stability to the formation of a low concentration of oxygen vacancy that stabilizes the crystal structure of Mo-doped SrCo0.7Fe0.3O3-δ and prevents the surface from Sr leaching/surface amorphization. These findings suggest that tuning perovskite oxide using a redox-inactive dopant featured with high valence state may provide further avenues to HER optimization.…”
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Titania catalysts : crystal chemical insights and tailored functionalities by Lim, Suo Hon

“…It is found that anatase disassociates to aperiodic titania before rearranging as rutile, with this amorphous phase enveloping the crystalline material and modifying functionality. The findings are supported by X-ray absorption spectroscopy (XAS) where Ti coordination and order correlation are consistent with the appearance of aperiodic materials prior to rutile crystallization. …”
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Layered materials : electrochemical studies for sensing, energy applications and toxicity studies by Chia, Hui Ling

“…As such, the thesis explored the cytotoxicity profiles of various emerging classes of layered materials, namely Group 5 transition metal ditellurides and pnictogen nanosheets. The findings in this dissertation represent a noteworthy first step towards enhancing our understanding of the electrochemical properties, applications and toxicological profiles of emerging classes of layered materials.…”
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React based web-application for stock price forecasting with a novel stacking algorithm by Mittal, Madhav

“…This paper aims to build an XgBoost model by finding the optimal data features and hyperparameters required for the task of stock price forecasting. …”
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Construction and utilisation of the adhesion test platform for the development of novel adaptive interfacial adhesives by Tan, Yee Yuan

“…The measured adhesion parameters, σth and Gc, provided guidelines for the design of an SMP adhesive fibril, by finding the range of fibril radii where the adhesion exhibits DMT-like behaviour with strong adhesion in the glassy state and JKR-like behaviour with weak adhesion in the rubbery state. …”
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Structural behavior of tubular frame under elevated temperature by Tan, Peng Hoe.

“…On the other hand, future laboratory test can be carried out to validate the findings in this FYP.…”
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Generating metal-organic frameworks (MOFs) from photovoltaic modules for wastewater remediation by Pham, Huu Khue, Sim, Ying, Carboni, Michaël, Meyer, Daniel, Mathews, Nripan

“…The adsorption performances on MB and MO of as-synthesized MOFs were determined to be ranging from 190.1 to 262.5 mg g-1 and 244.5 to 296.7 mg g-1 respectively, demonstrating the potential of upcycling solar panels waste to valuable metal-organic framework for wastewater remediation. The findings pave the way for utilising solar panel electronic waste as a valuable resource for upcycled applications.…”
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Beat the beam: an applied research study on sunscreen usage habits amongst young adults in Singapore by Yeo, Cassandra Jia Xi, Ow Yong, Gladys Xin Yi, Ho, Wen San, Galistan, Tessa Yu-Ting

“…Our study design also included a pre-campaign survey before the launch of the pilot campaign, and a post-campaign survey following its conclusion. Some notable key findings were that the influencer who utilised the photoaging AR filter had a higher credibility compared to when she did not, while organisations have a lower credibility when they utilised the filter compared to when they do not. …”
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On-chain analysis and cryptocurrency price forecasting using on-chain metrics by Sharma, Akshat

“…The project examines the effectiveness of on-chain metrics of 4 cryptocurrencies namely - Bitcoin, Ethereum, Dash and Dogecoin in predicting the price movements of cryptocurrencies using various forecasting models such as GARCH+SARIMAX, Bidirectional LSTM and Prophet model. The research findings reveal that on-chain metrics are useful in forecasting cryptocurrency prices, with the Prophet model achieving high levels of accuracy but only for short-term forecasts. …”
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Understanding early molecular mechanisms of abnormal myelination in neurological conditions by characterising Ermin deficiency by Oh, Sher Li, Ziaei, Amin, Tan, Liang Juin, Utami, Kagistia Hana, Pouladi, Mahmoud A., Langley, Sarah Raye

“…Our observations suggest that there are common mechanisms between Ermin deficiency and biological processes influenced by genetic variants of genetic generalised epilepsy. Our findings demonstrate that in the Ermin-deficient model of abnormal myelination, early changes in transcription factor expression are associated with dysregulation in oligodendrocyte differentiation, synaptic organisation, and protein modification. …”
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Improved packing for fully homomorphic encryption with reverse multiplication friendly embeddings by Sim, Jun Jie

“…While this vast amount of data can provide key revelations and significant findings for businesses, there is a rising trend of individuals lobbying for proper management of this data. …”
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Enhancing downstream ML performance with unconditional diffusion models for return predictions by Agarwala, Pratham

“…These include: (1)Discriminative Score: measures classifier’s ability to differentiate between real and synthetic. (2) Mutual Information Coefficient: measures amount of shared information between the synthetic and real. (3) Variation in Information: Evaluates the diversity within the synthetic data. Findings indicate a direct link between these factors and model performance, with high-diversity and optimal fidelity datasets enhancing forecasting accuracy. …”
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Trajectory prediction of dynamic obstacles in fleet management systems by Quintero, Dann Marko Gayanes

“…This pursuit focuses on various methodologies, including the possibility of integrating multiple algorithms to achieve superior performance. The findings of this research contribute significantly to the ongoing efforts aimed at optimizing trajectory prediction methods within fleet management systems. …”
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Development and design optimisation of digital intensity measurement system for shot peening by Tarani, Dinesh Kumar

“…However, additional exploration is required to translate the findings of this study into a device suitable for integration into the production line as a substitute for or alternative to Almen strip measurement.…”
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Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

“…In conclusion, this research underscores the potential of integrating computational simulations with advanced machine learning techniques to assess the sheltering factor of covered linkways against UAV collisions. The findings provide valuable insights for engineering analysis and design, contributing to improved understanding and design optimization of protective structures in UAV-prone environments.…”
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Experimental study of steel beam-column joints with novel slot-bolted connections under a central-column-removal scenario by Ma, You-Xin, Chen, Shuang, Tan, Kang Hai

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Advancing beyond conformal conflict resolution in air traffic control: balancing efficiency and conformance by Guleria, Yash, Pham, Duc-Thinh, Alam, Sameer

“…ATCO feedback also indicated that such a conflict resolution advisory mechanism could prove useful in improving controller decision-making. These findings highlighted the need for further research into adaptive conflict resolution models that can potentially better balance the tradeoffs between optimal- and conformal resolution models.…”
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Our model achieves excellent performance on movielens: what does it mean? by Fan, Yu-Chen, Ji, Yitong, Zhang, Jie, Sun, Aixin

“…In this study, we conduct a meticulous analysis of the MovieLens dataset and explain the potential impact of using the dataset for evaluating recommendation algorithms. We make a few main findings from our analysis. First, there are significant differences in user interactions at the different stages when a user interacts with the MovieLens platform. …”
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