Hole spin helix : anomalous spin diffusion in anisotropic strained hole quantum wells by Sacksteder, Vincent E., Bernevig, B. Andrei

“…We obtain the spin-orbit interaction and spin-charge coupled transport equations of a two-dimensional heavy hole gas under the influence of strain and anisotropy. …”
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High-spin impurities and surface acoustic waves in piezoelectric crystals for spin-lattice coupling by Magnusson, E

“…<p>In this thesis we investigate various aspects of SAW devices and strain sensitive spin species in ZnO and LiNbO₃ for coupling surface acoustic waves to spin ensembles.…”

Comparative analysis of dehydration techniques on phytochemical and antibacterial properties on pink and purple flowers impatiens walleriana by Tan, Suat Hian, Sin, Phin Yin, Ros Azlinawati, Ramli, Mohd Hairul, Ab. Rahim, Nyuk, Ling Ma

“…Microwave-dried leaf extracts were evaluated for antibacterial activity using the disc diffusion method. Both pink and purple flower varieties demonstrated inhibition of Gram-positive and Gram-negative bacteria, with the pink flower showing greater antibacterial effects. …”
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Designing a spiking neural network system for object recognition by Thong, Jing Yuan

“…Widely touted as the 3rd generation of neural networks, Spiking Neural Networks were introduced as an enhanced representation of working memory. …”
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Dissipative solitons with extreme spikes in the normal and anomalous dispersion regimes by Akhmediev, N., Soto-Crespo, J. M., Vouzas, Peter, Devine, N., Chang, Wonkeun

“…In this paper, one recent example is considered—dissipative solitons with extreme spikes (DSESs). It was found that DSESs exist in large regions of the parameter space of the complex cubic–quintic Ginzburg–Landau equation. …”
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Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…Our method also accounts for underestimation of posterior variance due to variational inference by providing an approximate posterior sampling approach based on Bayesian bootstrap ideas and spike-and-slab priors with random shrinkage targets. …”

Investigating Interventions in Fine-grained Contexts for Habit Formation by Khan, Mina

“…Habits are automatic responses to specific contextual cues, and can help sustain behavior change. Fine-grained specific contexts are commonly used in habit formation, but interventions in automatically-detected fine-grained contexts have rarely been explored for habit formation. …”
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The fine line between jianli guanxi and la guanxi. by Loh, Wan Fong.

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Filmwise condensation of steam on pin fin arrays fabricated by selective laser melting by Ho, Jin Yao, Leong, Kai Choong

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Spin multistability in dissipative polariton channels by Bozat, Ö., Savenko, I. G., Shelykh, Ivan A.

“…We investigate the effect of the temperature and the longitudinal-transverse splitting on the spin (polarization) multistability and hysteresis arising from the polarization-dependent polariton-polariton interaction. …”
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Spin carbon nanotubes into CNT fibers by Lim, Johnathan See Kwan.

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Ballistic spin transport in exciton gases by Kavokin, A. V., Vladimirova, M., Jouault, B., Liew, Timothy Chi Hin, Leonard, J. R., Butov, L. V.

Subjects: “…Spin transport…”
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Spin structures and AdS4 holography by Bobev, N, Bomans, P

“…We study the importance of spin structures as defining data for 11d supergravity backgrounds of the form AdS₄×$\mathcal{S}$⁷/$\mathcal{Z}$_k with a free orbifold action. …”

Spin structures and AdS4 holography by Bobev, N, Bomans, P

“…We study the importance of spin structures as defining data for 11d supergravity backgrounds of the form AdS₄×$\mathcal{S}$⁷/$\mathcal{Z}$_k with a free orbifold action. …”

Modulation of spin-orbit torque efficiency by thickness control of heavy metal layers in Co/Pt multilayers by Sethi, Pankaj, Krishnia, Sachin, Li, Sihua, Lew, Wen Siang

Subjects: “…Spin Orbit Torque…”
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FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

“…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…We specifically investigate training data properties related to positional bias in fine-tuned language model performance on correctly answering MCQs. …”
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Fabrication of fine features using digital light processing stereolithography by Chew, Ze Yong

“…Thus, this project was developed with the objectives to: 1. reduce production cost of Stereolithography by optimizing low end commercial Stereolithography system – ASIGA Freeform Pico 39 Plus such that it is able to print fine features 2. explore effective and convenient post processing step such that it is able to reduce material wastage and at the same time further shorten production lead time The parameter study conducted revealed that every layer thickness has a specific optimal exposure time such that the layers could be printed just fine, with minimal compromise of the internal features’ accuracy. …”
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Investigating fine-tuning of large language models for text summarisation by Khaliq, Usama, Patel, Preeti

“…The limited performance increase from the fine-tuned models was likely due to small datasets and medium-sized LLMs. …”
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Visual analytics for fine-grained text classification models and datasets by Battogtokh, M, Xing, Y, Davidescu, C, Abdul-Rahman, A, Luck, M, Borgo, R

“…In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. …”