Morphological and phenological characteristics of leaf development of Durio zibethinus Murray (Bombacaceae) by Ogawa, Kazuharu, Furukawa, Akio, Hagihara, Akio, Abdullah, Ahmad Makmom

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Sustainable performance measurement through digital transformation within the sustainable development framework: the mediating effect of supply chain concentration by Sun, Le, Ong, Tze San, Teh, Boon Heng, Di Vaio, Assunta

“…By examining a sample of 3947 listed Chinese firms, this study's results highlight a noteworthy link between digital transformation and enhanced sustainable performance, assessed through the triple bottom line framework, thus helping to achieve sustainable development goals (SDGs), such as the eighth and ninth SDGs. …”

Recent advances in ultrasensitive electrochemical sensors and biosensors for determination of antibiotics in environment samples by Zheng, Alvin Lim Teik, Teo, Ellie Yi Lih, Yiu, Pang Hung, Boonyuen, Supakorn, Chung, Eric Lim Teik, Andou, Yoshito

Recent microencapsulation trends for enhancing the stability and functionality of anthocyanins: a review by Ijod, Giroon, Mohamed Nawawi, Nur Izzati, Anwar, Farooq, Abd Rahim, Muhamad Hafiz, Ismail-Fitry, Mohammad Rashedi, Mohd Adzahan, Noranizan, Mohamad Azman, Ezzat

Characterization of Salmonella spp. isolated from patients below 3 years old with acute diarrhoea by Shobirin, M.H. Anis, Shuhaimi, M., Abu‐Bakar, F., Ali, A.M., Ariff, A., Nur‐Atiqah, N.A., Yazid, A.M.

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Recent review on porous adsorbents for water decontamination: strategies for enhanced removal of tetracycline by Zheng, Alvin Lim Teik, Teo, Ellie Yi Lih, Seenivasagam, Sivasangar, Yiu, Pang Hung, Boonyuen, Supakorn, Chung, Eric Lim Teik, Andou, Yoshito

Deep learning-enhanced jewelry material jadeite jade quality assessment by Meng, Liang, Raja Ahmad Effendi, Raja Ahmad Azmeer, Sun, Wei, Mo, Lili, Abdul Rahman, Ahmad Rizal, Hsu, Yu-Lin, Barron, Deirdre

Opportunity for genome engineering to enhance phosphate homeostasis in crops by Abdullah, Siti Nor Akmar, Ariffin, Norazrin, Md Hatta, Muhammad Asyraf, Kemat, Nurashikin

Sorptive properties of microplastics extracted from cosmetics by Praveena, Sarva Mangala, Aris, Ahmad Zaharin

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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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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