Memoryless quasi-Newton-type methods via some weak secant relations for large-scale unconstrained optimization by Lim, Keat Hee, Leong, Wah June

“…We establish the convergence properties for these methods, and their performance is tested on a large set of test functions by comparing with standard methods of similar computational cost and storage requirement. …”
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Linking framing analysis and international news communication: a content analysis of newspaper coverage on the Sept. 11 attacks, Bali bombing and Madrid train bombing by Tan, Joann Li Hoeng, Yang, Yanni, Jamaliah Othman

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The efficiency of marine engines by Main, Charles T. (Charles Thomas), 1856-1943.

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《虬髯客传》的古今诠释 : 以《虬髯客传》、《虬髯翁》和《风尘三侠之红拂女》为例 = Retelling “The legend of curled beard” : examples from Tang, Ming and Contemporary by 梁琇涵 Leong, Xiu Han

“…The Tang short story provides the base plot for all the other adaptations, portraying a majestic hero Curled Beard who is as wise as the second Tang Emperor Li Shi Min. The Ming play aims to persuade the rebels at that time to stop their rebellion by showing how the wise Curled Beard decide to expand his territory overseas and not overthrow the dynasty. …”
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Evaluating the impacts of lease decay on condominiums in Singapore: Bala's table revisited by Aw, Vernice Ming Hui, Yap, Cassandra Pin Xuan, Yap, Jun Hean

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Experimental investigation on the dynamics of an Organic Rankine Cycle evaporator with large-mass fins for the purpose of reducing heat input fluctuations by Jiménez-Arreola, Manuel, Wieland, Christoph, Romagnoli, Alessandro

“…Waste heat recovery from energy-intensive processes using Organic Rankine Cycle (ORC) is a promising effective method to reduce large quantities of energy waste and emissions in the planet. …”
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Linking digital leadership and employee digital performance in SMEs in China: The chain-mediating role of high-involvement human resource management practice and employee dynamic capability by Wang, Guifang, Dato Mansor, Zuraina, Leong, Yee Choy

“…The findings support studies on practical applications and link between digital leadership and employee digital performance. …”
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ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning by Ghafarollahi, Alireza, Buehler, Markus J.

“…Current methodologies for protein design often rely on AI-based models, such as surrogate models that address end-to-end problems by linking protein structure to material properties or vice versa. …”
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Exploring the application of knowledge-enhanced large language models in automotive marketing education: A case study of ERNIE bot by Lu, Hong Kun, Fei, Song, Noor, M. M., Wu, Bingli

“…This study explores the application of Baidu's ERNIE Bot as a knowledge-enhanced large language model in automotive marketing education. …”
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Sheep as a Large-Animal Model for Otology Research: Temporal Bone Extraction and Transmastoid Facial Recess Surgical Approach by Waring, Nicholas A., Chern, Alexander, Vilarello, Brandon J., Lang, Jeffrey H., Olson, Elizabeth S., Nakajima, Hideko H.

“…Purpose Sheep are used as a large-animal model for otology research and can be used to study implantable hearing devices. …”
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High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models by Montanelli, Luca, Venugopal, Vineeth, Olivetti, Elsa A., Latypov, Marat I.

“…Our framework includes transformer-based and large language models to identify sentences with phase-property information in papers, recognize phase and property entities, and extract phase-property relationships and their “sentiment.” …”
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From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models by Englhardt, Zachary, Ma, Chengqian, Morris, Margaret E., Chang, Chun-Cheng, Xu, Xuhai "Orson", Qin, Lianhui, McDuff, Daniel, Liu, Xin, Patel, Shwetak, Iyer, Vikram

“…To address these challenges, we pioneer the exploration of large language models (LLMs) to synthesize clinically relevant insights from multi-sensor data. …”
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Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network by Asif, M. T., Oran, A., Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, N., Jaillet, P., Dauwels, Justin, Goh, Chong Yang

“…We propose a robust and scalable method using v-SVR to tackle the problem of speed prediction of a large heterogeneous road network. The traditional performance measures such as mean absolute percentage error (MAPE) and root mean square error (RMSE) provide little insight into spatial and temporal characteristics of prediction methods for a large network. …”
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Multiscale virtual particle based elastic network model (MVP-ENM) for normal mode analysis of large-sized biomolecules by Xia, Kelin

“…With this model, large-sized biomolecular structures can be coarse-grained into virtual particles such that a balance between model accuracy and computational cost can be achieved. …”
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Large-scale flow measurements and analysis for radial inlets of industrial centrifugal compressors based on multi-hole probe system by Han, Fenghui, Wang, Zhe, Mao, Yijun, Zhang, Yiyun, Tan, Jiajia

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Fabrication of large-area ordered Au nano-ring arrays for the electrochemical removal and sensing of rhodamine 6G molecules by Cao, Xun

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Simultaneous implementation of enhanced resolution and large dynamic range for fiber temperature sensing based on different optical transmission mechanisms by Ni, Wenjun, Lu, Ping, Fu, Xin, Sun, Handong, Shum, Perry Ping, Liao, Hao, Jiang, Xinyue, Liu, Deming, Yang, Chunyong, Zhang, Jiangshan, Lian, Zhengang

“…In this paper, a high resolution and large dynamic range fiber optic temperature sensor without measurement crosstalk has been proposed. …”
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Holocene rate of slip and tentative recurrence interval for large earthquakes on the San Andreas fault, Cajon Pass, southern California by Sieh, Kerry, Weldon, Ray J.

“…Although the slip rate confirms that the San Andreas fault is accumulating slip faster than any other fault of the plate boundary, a large fraction of the plate boundary's rate of slip (∼20 of 56 mm/yr) cannot be accounted for on major faults in southern California. …”
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Empirical evidence on the global minimum tax: what is a critical mass and how large is the substance‐based income exclusion? by Devereux, MP, Paraknewitz, J, Simmler, M

Combining detection dogs and camera traps improves minimally-invasive population monitoring for the cheetah, an elusive and rare large carnivore by Verschueren, S, Hofmann, T, Schmidt-Küntzel, A, Kakove, M, Munyandi, B, Bauer, H, Balkenhol, N, Leirs, H, Neumann, S, Cristescu, B, Marker, L

“…Monitoring large carnivores is imperative for conservation planning, but is difficult due to their elusive behavior and natural rarity. …”