Design of perching mechanism for UAV by Lee, Wei Chong.

“…Research and development toward improving surveillance capabilities include extending mission life, by allowing the UAV to perch on locations such as tree branches, like birds.…”
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Implementation of reinforcement learning using neural networks by Tan, Keng Hui

“…Reinforcement Learning is a unique machine learning paradigm that has the ability to mimic behaviors and learn like what human do. Reinforcement learning can be used to train machine to do our daily job such as cleaning the house, driving the car and may even one day breach into the manufacturing world.…”
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Overseas listing of China's companies : causes and consequences by Wu, Yujun

“…Examines the causes and consequences of the overseas listing decisions and explains why these firms would like to list on the overseas market, through a study of 72 Chinese firms listed in the Hong Kong Exchange and 663 domestically listed Chinese firms.…”
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Historic development of regional economic integration and its impact on Singapore. by Lim, Wee Lee., Woo, Yam Yam.

“…This paper attempts to trace the historical development of regional economic integration and whether bilateral agreements like Free Trade Agreements will really help to accelerate and maintain Singapore’s growth momentum and review the pros and cons in the regional integration process, the economic impact of the FTAs to Singapore, and the challenges that Singapore is facing in her endeavor of this pursue.…”
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Individualism, collectivism and innovation. by Chan, Yin San., Lee, Yann Mei., Ng, Hui Yee.

“…Research results has also identified factors such like decision-making and problem solving to influence innovation within the firms.…”
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Distortion in laser micro welding of stainless steel SS304 foils by M. N., Jamaludin, Quazi, Moinuddin Mohammed, Aiman, Mohd Halil, M., Ishak

“…Stainless Steel 304 is a fine material selection for industrial usage in laser micro welding for e-mobility applications wherein battery components are fabricated. …”
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Thermal stability of laser modified die insert surface in hot press forming of 22MnB5 by Norhafzan, Bariman, Syarifah Nur Aqida, Syed Ahmad, Izwan, Ismail, Khairil, Che Mat

“…Despite its superior properties, the thermal stability of fine grain structure is questionable as its metastable phase. …”
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Tuning the shear thickening of suspensions through surface roughness and physico-chemical interactions by Bourrianne, Philippe, Niggel, Vincent, Polly, Gatien, Divoux, Thibaut, McKinley, Gareth H.

“…Finally, we demonstrate how mixtures of particles with opposing surface chemistry make it possible to finely tune the shear-thickening response of the suspension at a fixed volume fraction, paving the way for a fine control of the shear-thickening transition in engineering applications.…”
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Language, Camera, Autonomy! Prompt-engineered Robot Control for Rapidly Evolving Deployment by Macdonald, Jacob P., Mallick, Rohit, Wollaber, Allan B., Peña, Jaime D., McNeese, Nathan, Siu, Ho Chit

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Stability of internal gravity wave modes: from triad resonance to broadband instability by Akylas, T.R., Kakoutas, Christos

“…For short-scale perturbations such that 𝜇 ≪ 1 but 𝛼 = 𝜇/𝜖 ≫ 1, this triad resonance instability reduces to the familiar parametric subharmonic instability (PSI), where triads comprise fine-scale perturbations with half the basic-wave frequency. …”
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Physics-informed deep learning for multi-species membrane separations by Rehman, Danyal, Lienhard, John H.

“…The neural methods are pre-trained on simulated data from continuum models and fine-tuned on independent experiments to learn multi-ionic rejection behaviour. …”
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Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity by Heyman, Jennifer, Rick, Steven, Giacomelli, Gianni, Wen, Haoran, Laubacher, Robert, Taubenslag, Nancy, Knicker, Max, Jeddi, Younes, Ragupathy, Pranav, Curhan, Jared, Malone, Thomas

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Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition by Zhang, Da, Wang, Qingyi, Song, Shaojie, Chen, Simiao, Li, Mingwei, Shen, Lu, Zheng, Siqi, Cai, Bofeng, Wang, Shenhao, Zheng, Haotian

“…In this study, we develop a machine learning framework that is able to provide precise and robust annual average fine particle (PM2.5) concentration estimations directly from a high-resolution fossil energy use dataset. …”
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Bridging the Health Divide: Achieving Equitable Healthcare Access in Kenya through Artificial Intelligence by Nyakiongora, Geoffrey Mosoti

“…A GPT model is developed and fine-tuned on a comprehensive dataset of Kenyan cultural information, healthcare data, and architectural knowledge. …”
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Speed-Modulated Ironing: High-Resolution Shade and Texture Gradients in Single-Material 3D Printing by Ozdemir, Mehmet, AlAlawi, Marwa, Dogan, Mustafa Doga, Martinez Castro, Jose, Mueller, Stefanie, Doubrovski, Zjenja

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Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization by Majumder, Navonil, Hung, Chia-Yu, Ghosal, Deepanway, Hsu, Wei-Ning, Mihalcea, Rada, Poria, Soujanya

“…The loser outputs, in theory, have some concepts from the prompt missing or in an incorrect order. We fine-tune the publicly available Tango text-to-audio model using diffusion-DPO (direct preference optimization) loss on our preference dataset and show that it leads to improved audio output over Tango and AudioLDM2, in terms of both automatic- and manual-evaluation metrics.…”
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Hardness of Approximate Diameter: Now for Undirected Graphs by Dalirrooyfard, Mina, Li, Ray, Vassilevska Williams, Virginia

“…A series of papers on fine-grained complexity have led to strong hardness results for diameter in directed graphs, culminating in a recent tradeoff curve independently discovered by [Li, STOC'21] and [Dalirrooyfard and Wein, STOC'21], showing that under the Strong Exponential Time Hypothesis (SETH), for any integer k?…”
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Enabling Perspective-Aware Ai with Contextual Scene Graph Generation by Platnick, Daniel, Alirezaie, Marjan, Rahnama, Hossein

“…We evaluated PASGG-LM pipelines using state-of-the-art SGG models, including Motifs, Motifs-TDE, and RelTR, and showed that fine-tuning LLMs, particularly GPT-4o-mini and Llama-3.1-8B, improves performance in terms of R@K, mR@K, and mAP. …”
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Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation by Ando, Daisuke, Rashad, Sherif, Begley, Thomas J., Endo, Hidenori, Aoki, Masashi, Dedon, Peter C., Niizuma, Kuniyasu

“…Our knowledge of the role of the tRNA epitranscriptome in fine-tuning translation via codon decoding at tissue or cell levels remains incomplete. …”
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Characteristics of scanning curves of two soils by Tami, Denny, Rahardjo, Harianto, Leong, Eng Choon

“…The first slope model consisted of a fine sand layer overlying a gravelly sand layer, while the second slope model involved a silty sand layer overlying a gravelly sand layer. …”
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