AudienceView: AI-Assisted Interpretation of Audience Feedback in Journalism by Brannon, William, Beeferman, Doug, Jiang, Hang, Heyward, Andrew, Roy, Deb

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Llama2 self-improvement using memory-of-thought by Dong, Yuxiu

“…Memory-of-Thought (MoT) is a newly proposed mechanism for LLMs to self-improve without annotated datasets and expensive resource consumption for fine-tuning models. …”
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Important mathematical competences for students in the age of generative artificial intelligence: proof comprehension and evaluation, and ChatGPT by Stylianides, AJ, Stylianides, GJ

“…Specifically, generative Large Language Models (LLMs), notably ChatGPT, are becoming increasingly popular among students and are changing the landscape of what mathematical competences students need in order to function effectively in the age of generative artificial intelligence and interact productively with the new technologies. …”

Label-free surfaced enhanced raman spectroscopic analysis of polyamines for skin diagnostics by Teo, Valerie Xinhui

“…This rapid and inexpensive Label-free SERS method serves as an alternative to the current expensive mass spectroscopy and time-consuming ELISA taking medical diagnostics to new heights.…”
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Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

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Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review by McCoy, Liam G., Ci Ng, Faye Y., Sauer, Christopher M., Yap Legaspi, Katelyn E., Jain, Bhav, Gallifant, Jack, McClurkin, Michael, Hammond, Alessandro, Goode, Deirdre, Gichoya, Judy, Celi, Leo A.

“…Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. …”
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AI chatbots for education by Oak, Soe Khant

“…The rapid development of Large Language Models (LLMs) has transformed the landscape of education, enabling students and educators to leverage AI tools for enhanced learning experiences. …”
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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. Deploying and fine-tuning these models is computationally expensive, requiring careful planning and optimisation. …”
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Discovery of novel ligands using phage display by Nur Azri Muhamad Azan

“…Recombinant laminin-globular 3 (rLG3) from laminin-5 was developed and purified in order to be used to study the binding affinity with α3β1 and α6β4 via ELISA test. However, the test showed there was insignificant optical density against the concentration of α6β4. …”
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Development of a novel colorimetric immunoassay for C-Reactive Protein using colloidal nanoparticles by Tjitra, Niklas Lesmana

“…In this project, colorimetric gold nanoparticle assays based on local surface plasmon coupling phenomena were developed using anti-CRP antibodies and affimer proteins. ELISA experiments were first performed to confirm the binding of antibodies and affimer proteins to CRP. …”
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Power management system design and optimization for European Student Moon Orbitor (ESMO) by Muhammad Dzahir Mohamed Zain Affandi.

“…ESMO is a European Space Agency (ESA) initiative to involve the universities to build the first student satellite to orbit the Moon. …”
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Advancing Content Synthesis in Macro-Task Crowdsourcing Facilitation Leveraging Natural Language Processing by Gimpel, Henner, Laubacher, Robert, Meindl, Oliver, Wöhl, Moritz, Dombetzki, Luca

“…Recent advancements in large language models (LLMs) have demonstrated human-level performance in natural language processing. …”
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Secret collusion among AI agents: multi-agent deception via steganography by Motwani, SR, Baranchuk, M, Strohmeier, M, Bolina, V, Torr, PHS, Hammond, L, Schroeder de Witt, C

“…We propose a formal threat model for AI agents communicating steganographically and derive rigorous theoretical insights about the capacity and incentives of large language models (LLMs) to perform secret collusion, in addition to the limitations of threat mitigation measures. …”

TIM: a time interval machine for audio-visual action recognition by Chalk, J, Huh, J, Kazakos, E, Zisserman, A, Damen, D

“…On EPICKITCHENS, we beat previous SOTA that utilises LLMs and significantly larger pre-training by 2.9% top-1 action recognition accuracy. …”

Can large language model agents simulate human trust behaviors? by Xie, C, Chen, C, Jia, F, Ye, Z, Shu, K, Bibi, A, Hu, Z, Torr, P, Ghanem, B, Li, G

“…Our study provides new insights into the behaviors of LLM agents and the fundamental analogy between LLMs and humans.…”

Systemic interrogation of immune-oncology-related proteins in patients with locally advanced prostate cancer undergoing androgen deprivation and intensity-modulated radiotherapy by Guldvik, IJ, Ramberg, H, Kristensen, G, Røder, A, Mills, IG, Lilleby, W, Taskén, KA

“…PurposeThe primary objective was to establish whether blood-based leucine-rich alpha-2-glycoprotein (LRG1) can predict outcomes in patients with locally advanced prostate cancer undergoing androgen-deprivation therapy (ADT) and radiotherapy (RT) and to determine how it may relate to 92 immune-oncology (I-O)-related proteins in this setting.MethodsBaseline blood level of LRG1 from patients treated with ADT and RT enrolled in the CuPCa (n = 128) and IMRT (n = 81) studies was measured using ELISA. A longitudinal cohort with matched blood samples from start of ADT, start of RT, and end of RT protocol from 47 patients from the IMRT cohort was used to establish levels of I-O proteins by high-multiplexing Proximal Extension Assay by Olink Proteomics. …”

Characterization of immune response and duration of protection in buffaloes immunized with haemorrhagic septicaemia vaccines by Chandrasekaran, S., Kennett, L., Yeap, P.C., Muniandy, N., Rani, B., Mukkur, T.K.S.

“…These results suggested that there was a relationship between ELISA antibody titres and active protection in buffaloes. …”
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Mechanism of damnacanthal induced apoptosis in CEM-SS cell line by Gopalsamy, Banulata, Saiful Yazan, Latifah, Abdul Hamid, Hisyam

“…Cell viability and morphology was tested with trypan blue assay, flow cytometry analysis detected the apoptotic activity of damnacanthal, caspase colorimetric protease assay tested the Caspase 2, 3, 6, 8, and 9’s involvement and Enzyme-linked Immunosorbent Assay (ELISA) was carried out to quantify the Human p53, Bcl-2, and Bax expression levels. …”
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LLMR: Real-time Prompting of Interactive Worlds using Large Language Models by De La Torre, Fernanda, Fang, Cathy Mengying, Huang, Han, Banburski-Fahey, Andrzej, Amores Fernandez, Judith, Lanier, Jaron

“…We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs. LLMR leverages novel strategies to tackle difficult cases where ideal training data is scarce, or where the design goal requires the synthesis of internal dynamics, intuitive analysis, or advanced interactivity. …”
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Methods for Extracting and Analyzing Political Content on TikTok by Fadel, Marie Diane

“…Additionally, I utilized Large Language Models (LLMs) to evaluate the relevance and persuasive impact of the content, and these machine-generated insights were then benchmarked against human judgments. …”
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