Teaching strategies for environmental education by Stokes, David, Crawshaw, Bruce

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Conceptual paper on action research in a chinese lithium electric materials company: brain drain, talent-position mismatch and talent outflow. by Fu, Jianghua, Choo, Ling Suan, Teo, Poh-Chuin, Tan, Jun-Wei, C. F. Ho, Theresa

“…Recruitment, as the first link in corporate human resource management, is not only an important channel for the company to replenish fresh power and obtain outstanding talents, but also determines whether the company can establish a scientific and effective human resource management system. …”

High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer by Palafox, Marta, Monserrat, Laia, Bellet, Meritxell, Villacampa, Guillermo, Gonzalez-Perez, Abel, Oliveira, Mafalda, Brasó-Maristany, Fara, Ibrahimi, Nusaibah, Kannan, Srinivasaraghavan, Mina, Leonardo, Herrera-Abreu, Maria Teresa, Òdena, Andreu, Sánchez-Guixé, Mònica, Capelán, Marta, Azaro, Analía, Bruna, Alejandra, Rodríguez, Olga, Guzmán, Marta, Grueso, Judit, Viaplana, Cristina, Hernández, Javier, Su, Faye, Lin, Kui, Clarke, Robert B., Caldas, Carlos, Arribas, Joaquín, Michiels, Stefan, García-Sanz, Alicia, Turner, Nicholas C., Prat, Aleix, Nuciforo, Paolo, Dienstmann, Rodrigo, Verma, Chandra Shekhar, Lopez-Bigas, Nuria, Scaltriti, Maurizio, Arnedos, Monica, Saura, Cristina, Serra, Violeta

“…Here, we show that p16 overexpression is associated with reduced antitumor activity of CDK4/6 inhibitors in patient-derived xenografts (n = 37) and estrogen receptor-positive breast cancer cell lines, as well as reduced response of early and advanced breast cancer patients to CDK4/6 inhibitors (n = 89). …”
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Observation of flat bands and Dirac cones in a pyrochlore lattice superconductor by Huang, Jianwei, Setty, Chandan, Deng, Liangzi, You, Jing-Yang, Liu, Hongxiong, Shao, Sen, Oh, Ji Seop, Guo, Yucheng, Zhang, Yichen, Yue, Ziqin, Yin, Jia-Xin, Hashimoto, Makoto, Lu, Donghui, Gorovikov, Sergey, Dai, Pengcheng, Denlinger, Jonathan D., Allen, J. W., Hasan, M. Zahid, Feng, Yuan-Ping, Birgeneau, Robert J., Shi, Youguo, Chu, Ching-Wu, Chang, Guoqing, Si, Qimiao, Yi, Ming

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Towards semantic, debiased and moment video retrieval by Satar, Burak

“…Our approach tackles this challenge for the first time on long, fine-grained, and untrimmed egocentric videos, while existing methodologies target short, coarse-grained, and trimmed third-person videos. …”
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Towards optimal scheduling of deep learning training jobs in GPU clusters by Gao, Wei

“…Second, it reuses the fine-tuning runtime of FMF workloads to reduce the significant context switch overhead. …”
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Situational awareness (perception) assessment of ATC monitoring via brain eye measures by Lai, Marissa Shi Lin

“…Thereafter, the measure of situational awareness will be linked to the eye and brain data to identify the physiological signals. …”
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Examples out of Thin Air: AI-Generated Dynamic Context to Assist Program Comprehension by Example by Mattis, Toni, Krebs, Eva, Rinard, Martin C., Hirschfeld, Robert

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4.602 Modern Art and Mass Culture, Spring 2004 by Jones, Caroline

“…It focuses on the way artists use the tension between fine art and mass culture to mobilize a critique of both. …”
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Surface modulation of hierarchical MoS2 nanosheets by Ni single atoms for enhanced electrocatalytic hydrogen evolution by Zhang, Huabin, Yu, Le, Chen, Tao, Zhou, Wei, Lou, David Xiong Wen

“…Here, a surface modulation strategy is demonstrated through the decoration of isolated Ni atoms onto the basal plane of hierarchical MoS2 nanosheets supported on multichannel carbon nanofibers for boosted hydrogen evolution activity. X-ray absorption fine structure investigation and density functional theory (DFT) calculation reveal that the MoS2 surface decorated with isolated Ni atoms displays highly strengthened H binding. …”
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A cup of coffee by Yong, Kai Ting

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Deep robust multilevel semantic hashing for multi-label cross-modal retrieval by Song, Ge, Tan, Xiaoyang, Zhao, Jun, Yang, Ming

“…It seeks to preserve fine-grained similarity among data with rich semantics,i.e., multi-label, while explicitly require distances between dissimilar points to be larger than a specific value for strong robustness. …”
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Fabrication and characterization of spin-based synaptic devices by Lim, Idayu

“…Spin orbit torque (SOT) induced chiral domain wall (DW) motion in heavy-metal/ferromagnetic racetrack devices is promising for achieving energy-efficient and high-speed computing elements for edge intelligence[1]. By utilizing fine-grained control of the DW positions and hence, variable resistance readouts, analog synapses can be emulated[2]. …”
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An enhanced deep reinforcement learning ensemble empowered by large language model by Li, Xinyi

“…At its core, LLM-DRE effectively processes and synthesizes disparate forms of market data to fine-tune trading strategies, enabling an enriched assessment of financial environments. …”
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Annotating videos that teach MS Excel and predicting mouse / keyboard actions by Tan, Genson Yao Jie

“…The research methodology involves exploring the limitations of fine-tuning Flan-T5 for this task, while also utilizing prompt engineering on Large Language Model (LLM) such as Llama 2 as an alternative method. …”
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Analyzing job roles and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with A... by Tan, Kenneth Meng Hwee

“…The initial phase emphasizes data cleaning and pre-processing to fine-tune job descriptions and associated skill sets. …”
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Job scam detection using classification algorithms by Sim, Keith Shi Jie

“…Hence, future work in this area can focus on creating a more robust, comprehensive and balanced dataset as compared to the EMSCAD dataset and focus on fine-tuning other transformer models such as BigBird and Longformer, that are capable of handling larger sequences of texts.…”
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Supercreative : unleashing creative potential. by Chee, Edison.

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Umbrella by Khoo, Siew May

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One more minute by Liew, Ming Jia

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