Supporting organizational professional culture with collaborative technology during design phase in industrialized project delivery in Malaysia by R., Ibrahim, Abdul Ghafar, M.

“…The purpose of this case study research is to distinguish the base line communication preferences that could aid policy makers and building professionals to prepare themselves to deliver the smart city implementation. …”

Role of Macroeconomic Factors, Institutional Quality and Digitalization Towards Performance of Islamic Microfinance Institutions by Ahmed, Mushtaq, Isa, Mohamad Yazid

“…The success of microfinance institutions is uneven in achieving both objectives, some achieve one objective, either financial or social, while some fail to achieve any objective altogether. In this line, study uses panel data of 35 Islamic microfinance institutions of OIC countries to investigate the impact of macroeconomic, macro institutional factors and digitalization on the financial and social performance of microfinance institutions in OIC countries from 2008 to 2019. …”
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Enhancing Performance of Private Higher Education Institution through Strategic Excellence Model (S/O 13617) by Abdullah, Haim Hilman

“…In the context of Malaysia, education has been earmarked as one of the important national agenda in line with the 11th Malaysia. Plan that is designed to make the country a knowledge-based economy. …”
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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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Drive-specific selection in multistable mechanical networks by Kedia, Hridesh, Pan, Deng, Slotine, Jean-Jacques, England, Jeremy L.

“…We found that there exists a range of forcing amplitudes for which the attractor states of driven disordered multistable mechanical networks are fine-tuned with respect to the pattern of external forcing to have low energy absorption from it. …”
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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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WAHRSIS : a low-cost high-resolution whole sky imager with near-infrared capabilities by Dev, Soumyabrata, Savoy, Florian M., Lee, Yee Hui, Winkler, Stefan

“…Cloud imaging using ground-based whole sky imagers is essential for a fine-grained understanding of cloud formations, which can be useful in many applications. …”
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