Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

“…We consider the 100-million-word model to be developmentally plausible in terms of the amount of training data given that this amount is similar to what children are estimated to be exposed to during the first 10 years of life. Second, we test the performance of a GPT-2 model trained on a 9-billion-token dataset to reach state-of-the-art next-word prediction performance on the human benchmark at different stages during training. …”
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SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models by Ji, Weiqi, Su, Xingyu, Pang, Bin, Li, Yujuan, Ren, Zhuyin, Deng, Sili

“…Therefore, data-driven approaches that enable efficient discovery and calibration of kinetic models have received much attention in recent years, the core of which is the high-dimensional optimization based on big data. …”
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Mind the perception gap: The impact of bus rapid transit infrastructure on travelers’ perceptions of affective subjective well-being by Navarrete-Hernandez, Pablo, Christopher Zegras, P

“…Over the past 20 years, bus rapid transit (BRT) has been increasingly promoted as an affordable way to improve public transit services in cities around the world. …”
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MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model by Leong, Michael, Abdelhalim, Awad, Ha, Jude, Patterson, Diane, Pincus, Gabriel L, Harris, Anthony B, Eichler, Michael, Zhao, Jinhua

“…First, we utilize semi-supervised learning to engineer a training dataset of 11 broad transit topics detected in a corpus of 6 years of customer feedback provided to the Washington Metropolitan Area Transit Authority (WMATA). …”
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Design and Development of an Accelerated Material Synthesis Platform for Automated Materials Research by Aissi, Eunice I.

“…Most often, new materials are developed and characterized on the time scale of years which can limit the pace of scientific and industry innovation. …”
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Cellulose Nanofoams: 3D Printing and Characterization by Padia, Vineet

“…In recent years, the advancement in cellulosic nanofoams has been considerable. …”
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Unexpected anthropogenic emission decreases explain recent atmospheric mercury concentration declines by Feinberg, Aryeh, Selin, Noelle E., Braban, Christine F., Chang, Kai-Lan, Custódio, Danilo, Jaffe, Daniel A., Kyllönen, Katriina, Landis, Matthew S., Leeson, Sarah R., Luke, Winston, Molepo, Koketso M., Murovec, Marijana, Nerentorp Mastromonaco, Michelle G., Aspmo Pfaffhuber, Katrine, Rüdiger, Julian, Sheu, Guey-Rong, St. Louis, Vincent L.

“…In contrast to existing emission inventories, our modeling analysis suggests that annual NH anthropogenic emissions must have declined by at least 140 Mg between the years 2005 and 2020 to be consistent with observed trends. …”
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Understanding electrostatic interaction on strong cation-exchanger via co-ion valency effects by Essert, GM, de Souza, JP, Schwaminger, SP, Bazant, MZ, Berensmeier, S

“…Empirical adsorption models have been extensively used to design and optimize ion exchange chromatography (IEC) processes for proteins. The equations go 40 years back to the qualitative findings about the electrical double layer (EDL) in ion exchangers and form the basis of the stoichiometric displacement (SD) model widely used in preparative chromatography. …”
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Empirical estimation of metal powder bed fusion technological improvement rate by Alves de Campos, António, Torres Ferreira, Bruna, Gonçalves, Afonso, Leite, Marco, Ribeiro, Inês, L. Magee, Christopher, Henriques, Elsa

“…By employing regression analysis, we estimate a yearly improvement of 26.8%. This empirical rate comes as a more accurate and reliable substitute to the previously indirectly estimated patent-derived rate of 33.3%. …”
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Attempting developmental regionalism through AFTA : the domestic politics - domestic capital nexus by Helen E. S. Nesadurai

“…Althought AFTA is acknowledged as a project of open regionalism aimed at attracting FDI to Southeast Asian region, its member surprisingly chose to accord foreign investors full market access and national treatment privileges at least ten years later than to ASEAN national investors in AFTA's investment liberalisation component programme. …”
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Semantic sensitive satellite image retrieval by Li, Yikun

“…In recent years, numerous remote sensing platforms for Earth observation have been developed and together acquire several terabytes of image data per day. …”
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Unraveling the cooperative synergy of zero-dimensional graphene quantum dots and metal nanocrystals enabled by layer-by-layer assembly by Zeng, Zhiping, Xiao, Fang-Xing, Phan, Hung, Chen, Shufen, Yu, Zhongzheng, Wang, Rong, Nguyen, Thuc-Quyen, Tan, Timothy Thatt Yang

“…Recent years have witnessed a cornucopia of synthetic methods for fabricating carbon–metal nanocomposites. …”
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A high-throughput VLSI architecture for real-time full-HD gradient guided image filter by Wu, Lei, Jong, Ching Chuen

“…Guided image filtering has been applied widely in recent years as a solution to the ever-increasing demand of high-performance filtering, especially for real-time image/video processing. …”
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Omega-3 (ω-3) and social skills interventions for reactive aggression and childhood externalizing behavior problems : a randomized, stratified, double-blind, placebo-controlled, fa... by Raine, Adrian, Ang, Rebecca P., Choy, Olivia, Hibbeln, Joseph R., Ho, Ringo Moon-Ho, Lim, Choon Guan, Lim-Ashworth, Nikki S. J., Ling, Shichun, Liu, Jean C. J., Ooi, Yoon Phaik, Tan, Yi Ren, Fung, Daniel S. S.

“…Methods: In this randomized, double-blind, stratified, placebo-controlled, factorial trial, a clinical sample of 282 children with externalizing behavior aged 7–16 years was randomized into ω-3 only, social skills only, ω-3 + social skills, and placebo control groups. …”
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A study on giant panda recognition based on images of a large proportion of captive pandas by Chen, Peng, Swarup, Pranjal, Matkowski, Wojciech Michal, Kong, Adams Wai Kin, Han, Su, Zhang, Zhihe, Rong, Hou

“…The advances of imaging technologies have led to the wide applications of digital images and videos in panda conservation and management, which makes it possible for individual panda recognition in a noninvasive manner by using image-based panda face recognition method. In recent years, deep learning has achieved great success in the field of computer vision and pattern recognition. …”
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Generating metal-organic frameworks (MOFs) from photovoltaic modules for wastewater remediation by Pham, Huu Khue, Sim, Ying, Carboni, Michaël, Meyer, Daniel, Mathews, Nripan

“…Photovoltaic (PV) energy adoption has increased drastically over the years and is expected to become a mainstream energy source for the future due to its sustainability. …”
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Android mobile-platform-based image reconstruction for photoacoustic tomography by Hui, Xie, Rajendran, Praveenbalaji, Muhamad Ar Iskandar Zulkifli, Ling, Tong, Pramanik, Manojit

“…In practice, most of these reconstructions are carried out on a desktop/workstation and the mobile-based reconstructions are far-flung. In recent years, mobile phones are becoming so ubiquitous, and most of them encompass a higher computing ability. …”
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Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

“…In the past, most of the prediction methods were based on physics-based models such as the pronounced diffusion approximation method. In more recent years, with the advancement and growing popularity of machine learning techniques, most of the prediction methods are data-driven. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Employing machine learning algorithms to forecast the behavior of nonlinear spatiotemporal systems, such as soil consolidation induced by land reclamation, has been popular in recent years. Although pure data-driven models demonstrate strong performance within their training domain, i.e., in-sample prediction, they lack interpretability and might have poor generalization outside the training domain, i.e., out-of-sample prediction, particularly when the observed geodata is limited. …”
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Enterprise content management solutions in the context of information lifecycle management (ILM). by Parameswari G. M.

“…Software related to managing such content has proliferated over the years and recent acquisitions in the ECM industry show how widespread its adoption is and its strength in the information technology market. …”
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