The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

“…In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the “fine cuts” approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. …”

Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”

Developing a system that uses ultrawide-band inertial measurement units to quantify selected 10-Pin skills in real-time by Wee, Joel Jiewei

“…Ten-pin bowling is a unique abstract sport that requires bowlers to deliver a 11-to-16-pound ball in a five-step approach for the ball to travel down the oiled lane to knock down 10 pins. …”
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Long memory estimation of stochastic volatility for index prices / by Kho, Chia Chen, 1988-, author 615295, Arifah Bahar, supervisor 199532, Ting Chee Ming, supervisor 637256, Haliza Abd. Rahman, 1971-, supervisor 542341, Fakulti Sains 8004

Long memory estimation of stochastic volatility for index prices / by Kho, Chia Chen, 1988-, author 615295

Limits and prospects for long-baseline optical fiber interferometry by Hilweg, Christopher, Shadmany, Danial, Walther, Philip, Mavalvala, Nergis, Sudhir, Vivishek

“…Today’s most precise optical instruments—gravitational-wave interferometers and optical atomic clocks—rely on long storage times for photons to realize their exquisite sensitivity. …”
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Long-lived particle reconstruction downstream of the LHCb magnet by LHCb collaboration

“…The challenges of the reconstruction of long-lived particles with T tracks for physics use are discussed and solutions are proposed. …”
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Dilute antimonide nitride for long wavelength infrared photodetection by Chen, X. Z., Jin, Y. J., Zhang, D. H.

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Aeroelastic analysis of super long cable-supported bridges by Zhang, Xin

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Competitive cloud pricing for long-term revenue maximization by Rong, Jiang, Qin, Tao, An, Bo

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Person re-identification for long term outfit problem by Wei, Zilai

“…This dissertation proposes a long-term clothing-changing person re-identification (Re-ID) method, which addresses the challenge of identifying individuals who usually change their clothing over long periods of time. …”
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Generative AI disproportionately harms long tail users by Maung, BM, McBride, K, Lucas, JS, Tabar, M, Lee, D

“…Generative AI’s (GenAI’s) risks can be amplified in “long tail” populations and regions. We recommend strategies to mitigate these risks and conclude by calling for a more nuanced and global dialog on GenAI safety.…”

Towards a consensus for dyslexia practice: findings of a Delphi study on assessment and identification by Snowling, M

“…Forty-two consensus statements were ultimately accepted.</p> <p>Findings suggested that assessment practice should take account of risks to the accurate identification of dyslexia. …”

Clinical manifestations, laboratory and diagnostic imaging findings of feline upper respiratory and pleural infections by Sim, Juin Jia

“…History, signalment and physical examination information of the cats were obtained. Laboratory findings including haematology, biochemistry, cytology, bacterial identification and diagnostic imaging findings were analysed. …”
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Applying population mechanistic modelling to find determinants of CAR-T dynamics in month-one lymphoma patients -- Dataset by Brown, L

“…Supplementary Dataset for the paper:<br> Applying population mechanistic modelling to find determinants of CAR-T dynamics in month-one lymphoma patients…”

An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

“…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing by Sen, Argha, Bandara, Nuwan, Gokarn, Ila, Kandappu, Thivya, Misra, Archan

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Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis by Qin, Detao, Liu, Zhaoyang, Bai, Hongwei, Song, Xiaoxiao, Li, Zhengtao, Sun, Darren Delai

“…Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. …”
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Work motivation and it effect on desire for continued employment among older worker in UTM / by Wu, Huan, 1990-, author 608570, Ishak Mad Shah, supervisor 599832, Fakulti Pengurusan 538641

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