Design of a long-term memory genetic toggle switch inspired by chromatin modification circuits by Kwon, Ukjin, Huang, Hsin-Ho, Vecchio, Domitilla Del

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Fast Broadcast in Highly Connected Networks by Chandra, Shashwat, Chang, Yi-Jun, Dory, Michal, Ghaffari, Mohsen, Leitersdorf, Dean

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Age-Based Developmental Biomarkers in Eye Movements: A Retrospective Analysis Using Machine Learning by Hunfalvay, Melissa, Bolte, Takumi, Singh, Abhishek, Greenstein, Ethan, Murray, Nicholas P., Carrick, Frederick Robert

“…Clinicians and researchers may use the findings from this study to inform decision-making on patients’ health and wellness and guide effective research methodologies.…”
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The Urban Infrastructure of Care: Planning for Equitable Social Reproduction by Binet, Andrew, Houston-Read, Rebecca, Gavin, Vedette, Baty, Carl, Abreu, Dina, Genty, Josée, Tulloch, Andrea, Reid, Azan, Arcaya, Mariana

“…Problem, research strategy and findings Around the world, people’s life-sustaining capacities for caring for one another are overextended in unequal and unsustainable ways, with major implications for gender, racial, and health equity in cities. …”
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The Properties of Whiteness by Williams, Darien Alexander, Delgado, Laura Humm, Cameron, Nicholette, Steil, Justin

“…Problem, research strategy, and findings Land use regulations have contributed to the construction of White supremacist racial categories and the persistent conjunction of race and property in the United States. …”
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“The Past We Step Into and How We Repair It” by Williams, Rashad, Steil, Justin

“…Problem, research strategy, and findings Anti-racist futures in urban and regional planning require repairing the White supremacist harms that have structured our metropolitan areas and patterns of living. …”
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Evaluation of Deep Learning Algorithms in Predicting Seismic Response of a Reinforced Concrete Structure by Morgan, Jacob A.

“…By employing a variety of results metrics previously used in the literature, including correlation coefficients, normalized error distributions, and peak errors, this thesis examines different components of the models’ capabilities to learn more about patterns in the data learned by the computational mechanisms of each architecture, and exploring the feasibility of a generalized approach for further application in structural response prediction. Findings from the work show the data-driven Long Short-Term Memory (LSTM) network performing the most accurately, but not consistently outperforming the other algorithms. …”
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Location, Location, Substation? How Battery Energy Storage Systems (BESS) Can Create Value in Unexpected Places by Schutt, Neal

“…The study concludes that BESS can unlock ‘found value’ in sites with little other economic potential. The findings suggest that incorporating BESS into real estate development projects can provide substantial public benefits, including enhanced grid resilience, lower energy costs, and increased property values, making it a strategic tool for urban planners and developers.…”
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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

“…This empirical rate comes as a more accurate and reliable substitute to the previously indirectly estimated patent-derived rate of 33.3%. Our findings underscore PBF's capability of keeping pace with its growing significance and wider industrial applications. …”
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Examining the adoption of electromobility concepts across social contexts for energy transition by K?hlke, Julia, Lechowicz, Adam, Fabikun, Oluwole, Bashir, Noman, Souza, Abel, Shenoy, Prashant, Lehnhoff, Sebastian

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9th International Workshop on Mental Health and Well-being: New Research Directions by Adler, Daniel, Xu, Xuhai, Salekin, Asif, Mishra, Varun, Kwon, Hyeokhyen, Sano, Akane, Abdullah, Saeed, Bardram, Jakob, Zhao, Yiran, Kalanadhabhatta, Manasa, Zhang, Han, Murnane, Elizabeth, Choudhury, Tanzeem, Musolesi, Mirco, Rahman, Tauhidur, King, Zachary, Krell, Rony, D'Alfonso, Simon

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Exploring Potential Application Areas of Artificial Intelligence-Infused System for Engagement Recognition: Insights from Special Education Experts by Kim, Won, Seong, Minwoo, DelPreto, Joseph, Matusik, Wojciech, Rus, Daniela, Kim, SeungJun

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The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli by Sueoka, Yotaro, Paunov, Alexander, Tanner, Alyx, Blank, Idan A., Ivanova, Anna, Fedorenko, Evelina

“…Our results complement earlier findings from controlled experiments (e.g., Ivanova et al., 2021) in providing further evidence that the language network shows some sensitivity to semantic content in nonverbal stimuli.…”
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A 35-Year Analysis of Vegetation Cover in Rare-Earth Mining Areas Using Landsat Data by Zheng, Zhubin, Liu, Yuqing, Chen, Na, Liu, Ge, Lei, Shaohua, Xu, Jie, Li, Jianzhong, Ren, Jingli, Huang, Chao

“…To elucidate the spatio-temporal changes in vegetation within Dingnan County over the past 35 years and the effects of natural and human factors on these changes, the spatial and temporal variations in FVC were analyzed using Landsat-TM/OLI multispectral images taken in 1988, 1995, 1997, 2002, 2006, 2013, 2017, and 2023. The findings indicate that (1) vegetation coverage in Dingnan County decreased from 1988 to 2002, followed by a gradual increase; (2) high vegetation cover is predominantly found in forested areas that maintain their natural state, while the central town and mining areas exhibit generally low coverage; (3) there are regional differences in the relationship between vegetation cover and environmental factors in Dingnan County. …”
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Last-Meter Delivery: Solving the Unattended Delivery Challenge from Streets to Doorsteps by Xiao, Wen-Xin

“…The thesis concludes by summarizing the key findings and contributions, discussing the broader implications of the proposed methodology, and suggesting directions for future work, such as enhancing system robustness and scalability. …”
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Wearable Gut and Brain Interfaces for Valence Detection and Modulation by Vujic, Angela

“…This thesis presents findings and innovations in research and application: first, offline affect detection models which contextualize neural with embodied modalities and evaluate how each signal influences affect detection performance. …”
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Coevolving Cybersecurity Adversaries for Industrial Control Systems in Failure-Prone Environments by Wicks, Kathryn

“…This thesis answers these questions by comparing the performance of different anomaly detection methods on cyberattack datasets with varying levels of stressor complexity and severity, and finds that stress on an industrial system can degrade anomaly-based intrusion detector performance. …”
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Design of EWMA control chart for minimizing the proportion of defective units by Shamsuzzaman, Mohammad, Wu, Zhang

“…The probability distribution of the random process shift (e.g. mean shift d) is taken into account that may be modeled by a Rayleigh distribution based on the sample data acquired during the operation of the control chart. Findings – The results of the comparison studies and an example show that the proposed MD-EWMA chart is significantly superior to the Shewhart-type MD-X¯ chart and the other EWMA charts in terms of the overall mean defective MD. …”
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Heuristic control of multiple batch processors with incompatible job families and future job arrivals by Tajan, John Benedict C., Sivakumar, Appa Iyer., Gershwin, Stanley B.

“…This reduction in cycle time generally increases with: increasing number of job families, decreasing number of processors, and increasing time between job arrivals. Our findings imply that controlling the upstream processors, such that job families of consecutive job arrivals are correlated, can reduce the cycle time at the batch processing stage. …”
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Negotiating crisis in the social media environment : evolution of crises online, gaining credibility offline by Pang, Augustine, Hassan, Nasrath Begam Binte Abul, Chong, Aaron Chee Yang

“…Design/methodology/approach – This exploratory study uses the multiple case study method to analyze five crises, generated online, throughout their life-cycles, in order to build analytic generalizations (Yin). Findings – Crises are often triggered online when stakeholders are empowered by social media platforms to air their grievances. …”
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