Urban performance-based navigation (uPBN): addressing the CNS variation problem in the urban airspace in the context of UAS traffic management by Dai, Wei, Deng, Chao

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Effect of geometric scaling on the microstructural development of selective laser melted metal parts by Ng, Angelin Shia Yin

“…After heat treatment was conducted to release all the residual stresses, the samples’ YS fell to a similar level to the samples with no delay. …”
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Dynamic obstacle avoidance in mobile robots using adversarial deep learning by Tan, Chun Ye

“…The problem of obstacle avoidance arises when a robot attempts path planning to generate a collision-free motion trajectory across a certain period. …”
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Left Atrial Appendage Occlusion: Current Stroke Prevention Strategies and a Shift Toward Data-Driven, Patient-Specific Approaches by Mendez, Keegan, Kennedy, Darragh G., Wang, Dee Dee, O’Neill, Brian, Roche, Ellen T.

“…Oral anticoagulation therapies are the mainstay of stroke prevention options for patients; however, not all patients are candidates for long-term oral anticoagulation. …”
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Enhancing fixed transit services with demand-responsive limited-stop services considering alternative routes by Lee, Kelvin, Jiang, Yu, Dauwels, Justin, Su, Rong

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Turning trash into treasure: exploring the potential of AI in municipal waste management - an in-depth review and future prospects by El Jaouhari, Asmae, Samadhiya, Ashutosh, Kumar, Anil, Mulat-Weldemeskel, Eyob, Luthra, Sunil, Kumar, Rajesh

“…To close this gap, this study conducts a thorough review of the relevant literature with an application of preferred reporting items for systematic reviews and meta-analyses-based methods, examining 229 peer-reviewed publications to explore the role of AI in different MWM areas, such as waste characteristics forecasting, waste bin level monitoring, process parameter prediction, vehicle routing, and MWM planning. The main AI techniques and models used in MWM optimization, as well as the application areas and stated performance metrics, are all thoroughly analyzed in this review. …”
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Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients by Braaksma, Aleida, Copenhaver, Martin S., Zenteno, Ana C., Ugarph, Elizabeth, Levi, Retsef, Daily, Bethany J., Orcutt, Benjamin, Turcotte, Kathryn M., Dunn, Peter F.

“…Abstract Early bed assignments of elective surgical patients can be a useful planning tool for hospital staff; they provide certainty in patient placement and allow nursing staff to prepare for patients’ arrivals to the unit. …”
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Cooperative collision avoidance in multirobot systems using fuzzy rules and velocity obstacles by Tang, Wenbing, Zhou, Yuan, Zhang, Tianwei, Liu, Yang, Liu, Jing, Ding, Zuohua

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Association between gestational bisphenol a exposure and maternofoetal outcomes: a cohort study in a single tertiary hospital in Klang Valley by Juliana Yusof, Sarah Zulkifli, Mohd Shahril Ahmad Saman, Danial Efendy Goon, Nurliana Abd Mutalib, Nur Izzaty Yusnazery, Izzuan Khirman Adnan, Siti Hamimah Sheikh Abdul Kadir

“…Our LC-MS/MS analysis showed that BPA was present in all the urine samples, with levels varying from 4.42 to 30.86 ng/mL. …”
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Battery remaining useful life estimation based on particle swarm optimization-neural network by Zuriani, Mustaffa, Mohd Herwan, Sulaiman

“…Determining the Remaining Useful Life (RUL) of a battery is essential for several purposes, including proactive maintenance planning, optimizing resource allocation, preventing unforeseen failures, improving safety, extending battery lifespan, and achieving accurate cost savings. …”
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Proof of Travel for Trust-Based Data Validation in V2I Communication by Suo, Dajiang, Mo, Baichuan, Zhao, Jinhua, Sarma, Sanjay E.

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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

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Robust Reinforcement Learning Strategies with Evolving Curriculum for Efficient Bus Operations in Smart Cities by Tang, Yuhan, Qu, Ao, Jiang, Xuan, Mo, Baichuan, Cao, Shangqing, Rodriguez, Joseph, Koutsopoulos, Haris N, Wu, Cathy, Zhao, Jinhua

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Intensity of stress singularity for the circumferential V-shape corner front of a three-dimensional diamond-like defect by Ping, X. ., Zhang, Y. X., Guo, Y. B., Xiao, Z. M., Jalde, J., Chen, M. C.

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Carbene-catalyzed activation of formyl-phenylacetic esters for access to chiral dihydroisoquinolinones by Wu, Shuquan, Xu, Jun, Deng, Rui, Wang, Hongling, Chi, Robin Yonggui, Zheng, Pengcheng

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Explainable data-driven optimization for complex systems with non-preferential multiple outputs using belief rule base by Chang, Leilei, Zhang, Limao

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Flood inundation modeling under stochastic uncertainty by Sun, He.

“…Since the beginning of human history, flooding has been one of the most destructive and recurring natural disasters, which brings a serious threat to a broad range of population and properties all over the world. Therefore, flood inundation modeling plays an essential role in both flood forecasting and damage estimation due to its capability to generate simulated flood extent and flood depth maps for flood risk management. …”
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Modelling cross-docking in a three-level supply chain with stochastic service and queuing system: MOWFA algorithm by Rostami, Parinaz, Avakh Darestani, Soroush, Movassaghi, Mitra

“…The results vividly demonstrate that non‐dominated sorting genetics is the best of all.…”
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Co-designing the implementation of a rural health systems-strengthening rheumatic heart disease program with remote First Nations Australian communities using Theory of Change by Jones, B, Mitchell, A, Haynes, E, Howard, NJ, Wade, V, Pears, C, Rossingh, B, Gatti, J, Ramadani, S, Corpus, E, Yan, J, Marangou, J, Kaethner, A, Bailey, M, Francis, JR, English, M, Nagraj, S

“…Five locally adapted versions of the Theory of Change were co-designed to include planned outcomes, assumptions, causal mechanisms, and indicators for the program at each community. …”

Self-harm-related mental imagery: a content analysis study of imagery reported by young people referred to mental health services by Susi, K, Stewart, A, Knowles Bevis, R, Hawton, K

“…Participants were mostly female (85.5%) and White (87.3%). All but one participant (98.2%) reported images related to self-harm, with 53 (96.4%) reporting future-oriented self-harm images, 53 (96.4%) reporting past-oriented images, and 52 (94.5%) reporting both. …”