Research into the impacts of electronic road pricing and in-vehicle unit on commercial drivers' perception and behaviour by Ang, Shang Le

“…In this project, a total of five locations mainly – Jalan Bahar Heavy Vehicle Park, Jurong East Heavy Vehicle Parking, Tradehub 21, Jurong Point Loading and Unloading Area and Midview City at Sin Ming Lane, are chosen for the conduct of the behavioural and perception survey. …”
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Isolation of Spirosoma foliorum sp. nov. from the fallen leaf of Acer palmatum by a novel cultivation technique by Han, Ho Le, Nurcahyanto, Dian Alfian, Muhammad, Neak, Lee, Yong-Jae, Nguyen, Tra T. H., Kim, Song-Gun, Chan, Sook Sin, Khoo, Kuan Shiong, Chew, Kit Wayne, Show, Pau Loke, Tran, Thi Ngoc Thu, Nguyen, Thi Dong Phuong, Chiu, Chen Yaw

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A bin-packing based heuristic for the integrated inventory and vehicle routing problem by Yang, Yang

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论阮籍诗文中的逃避主义 = Escapism in the literary works of Ruan Ji by 王岳明 Wang, Yueming

“…Next, elements of escapism existing in Tao Yuan Ming’s literary works will be proposed via a case study of his “Notes and Poem on the Peach Blossom Arcadia”. …”
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Analysis of influence and its applications in social advertising by Zhu, Yuqing

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Modulating optical and electrical properties of TiO2 photoanode in dye-sensitized solar cells by Pham, Thi Thu Trang

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古典文学中的“戏妻”、“试妻”现象 = An analysis of "Husband Teasing wife" in classical Chinese literature by 郑慧萍 Tay, Hui Ping

“…Thus, the “Husband Teasing Wife” plot gradually developed and was inherited by later works. From the Ming Dynasty onwards, “Husband Teasing Wife” mainly exists in the form of “Husband Testing Wife”. …”
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Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects / by Yanev, Martin, author 656265

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Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing by Ahmad Shahir, Jamaludin, Mohd Nizar, Muhd Razali, Nurul Nadia, Nor Hamran, Mohd Zairulnizam, Mohd Zawawi, Mohd Amran, Md Ali

“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data by Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

“…We conduct a broad range of experiments, covering zero-shot prompting, few-shot prompting, and instruction fine-tuning. The results indicate a promising yet limited performance of LLMs with zero-shot and few-shot prompt designs for mental health tasks. …”
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Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015 by Budisulistiorini, Sri Hapsari, Riva, Matthieu, Williams, Michael, Miyakawa, Takuma, Chen, Jing, Itoh, Masayuki, Surratt, Jason D., Kuwata, Mikinori

“…Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measurements. …”
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Punching shear strength analysis of corroded reinforcement concrete slab by Fu, Yibin

“…Moreover, internal tensile stress during corrosion tend to result in existing fine line or micro cracks to enlarge, resulting in increasing permeability of concrete and form a chain of interconnected defects. …”
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涂涂写写 = Alchemy of color and brushwork by Ng, Woon Lam

“…As brushwork strengthens the form, the three attributes of colors (namely tone, hue and chroma) are fine-tuned to either work with or against the results of the brushwork. …”
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A multi-view context-aware approach to Android malware detection and malicious code localization by Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang

“…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…A study is conducted by building four models pre-trained on COVID-19 data from four different countries (United States of America, Brazil, Spain, and Bangladesh) and fine-tuned on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. …”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
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